ORIGINAL_ARTICLE
Adaptive dynamic surface control of a flexible-joint robot with parametric uncertainties
A new kind of adaptive dynamic surface control (DSC) method is proposed to overcome parametric uncertainties of flexible-joint (FJ) robots. These uncertainties of FJ robots are transformed into linear expressions of inertial parameters which are estimated based on the DSC, and the high-order derivatives in DSC are solved by using first-order filter. The adaptation laws of inertial parameters are designed directly to improve the tracking performance according to the Lyapunov stability analysis. Simulation results for a two-link FJ robot show the better tracking accuracy against model parametric uncertainties. The method used does not need aid of Neural Network (NN), and is simpler and calculation faster than the other adaptive methods
http://scientiairanica.sharif.edu/article_20492_0c1b4e31e6dff7c4e8343b8693db4147.pdf
2019-10-01
2749
2759
10.24200/sci.2018.20492
FJ robot
dynamic surface control
inertial parameters
Adaptive Control
tracking accuracy
C.G.
Li
1
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
LEAD_AUTHOR
W.
Cui
w.cui11@imperial.ac.uk
2
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
AUTHOR
D.D.
Yan
3
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
AUTHOR
Y.
Wang
ypwang@bao.ac.cn
4
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
AUTHOR
C.M.
Wang
ceewcm@nus.edu.sg
5
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
AUTHOR
1. Chen, Z.Y. and Chen, L. Adaptive backstepping control of exible-joint space robot based on neural network", Engineering Mechanics, 30(4), pp. 397-401 (2013). 2. Macnab, C.J.B. and D'Eleuterio, G.M.T. Neuroadaptive control of elastic-joint robots using robust performance enhancement", Robotica, 19(6), pp. 619-629 (2001). 3. Nanos, K. and Papadopoulos, E. On the use of free-oating space robots in the presence of angular momentum", Intelligent Service Robotics, 4(1), pp. 3- 15 (2011). 2758 C.G. Li et al./Scientia Iranica, Transactions B: Mechanical Engineering 26 (2019) 2749{2759 4. Karabacak, M. and Eskikurt, H.I. Design, modelling and simulation of a new nonlinear and full adaptive backstepping speed tracking controller for uncertain PMSM", Applied Mathematical Modelling, 36(11), pp. 5199-5213 (2012). 5. Karabacak, M. and Eskikurt, H.I. Speed and current regulation of a permanent magnet synchronous motor via nonlinear and adaptive backstepping control", Mathematical & Computer Modelling, 53(9-10), pp. 2015-2030 (2011). 6. Swaroop, D., Hedrick, J.K., Yip, P.P., and Gerdes, J.C. Dynamic surface control for a class of nonlinear systems", IEEE Transactions on Automatic Control, 45(10), pp. 1893-1899 (2002). 7. Wu, Z.H., Lu, J.C., and Shi, J.P. Adaptive neural dynamic surface control of morphing aircraft with input constraints", 29th Chinese Control and Decision Conference, Chongqing, China, pp. 6-12 (2017). 8. Zhang, T., Xia, M., Yi, Y., and Shen, Q. Adaptive neural dynamic surface control of pure-feedback nonlinear systems with full state constraints and dynamic uncertainties", IEEE Transactions on Systems Man Cybernetics-Systems, 47(8), pp. 2378-2387 (2017). 9. Wang, C., Wu, Y., and Yu, J. Barrier Lyapunov functions-based dynamic surface control for purefeedback systems with full state constraints", IET Control Theory and Applications, 11(4), pp. 524-530 (2017). 10. Shin, J. Adaptive dynamic surface control for a hypersonic aircraft using neural networks", IEEE Transactions on Aerospace and Electronic Systems, 53(5), pp. 2277-2289 (2017). 11. Gao, S.G., Dong, H.R., Ning, B., Tang, T., Li, Y.D., and Valavanis, K.P. Neural adaptive dynamic surface control for mismatched uncertain nonlinear systems with nonlinear feedback errors", 36th Chinese Control Conference (CCC). Dalian, China, pp. 828-833 (2017). 12. Min, W. and Huiping, Y. Adaptive neural dynamic surface control for exible joint manipulator with prescribed performance", 29th Chinese Control and Decision Conference, Chongqing, China, pp. 5311- 5316 (2017). 13. Uyen, H.T.T., Tuan, P.D., Tu, V.V., Quang, L., and Minh, P.X. Adaptive neural networks dynamic surface control algorithm for 3 DOF surface ship", International Conference on System Science and Engineering, Ho Chi Minh City, Vietnam, pp. 71-76 (2017). 14. Li, C., Cui, W., You, J., Lin, J., and Xie, Z. Neural network adaptive backstepping control of multi-link exible-joint robots", Journal of Shanghai Jiaotong University, 50(7), pp. 1095-1101 (2016) (In Chinese). 15. Zhai, D., Xi, C., An, L., Dong, J., and Zhang, Q. Prescribed performance switched adaptive dynamic surface control of switched nonlinear systems with average dwell time", IEEE Transactions on Systems Man Cybernetics-Systems, 47(7), pp. 1257-1269 (2017). 16. Su, H. and Zhang, W. A combined backstepping and dynamic surface control to adaptive fuzzy statefeedback control", International Journal of Adaptive Control and Signal Processing, 31(11), pp. 1666-1685 (2017). 17. Gao, S., Dong, H., Ning, B., and Yao, X. Singleparameter- learning-based fuzzy fault-tolerant output feedback dynamic surface control of constrained-input nonlinear systems", Information Sciences, 385, pp. 378-394 (2017). 18. Edalati, L., Edalati, L., Sedigh, A.K., Shooredeli, M.A., and Moare_anpour, A. Adaptive fuzzy dynamic surface control of nonlinear systems with input saturation and time-varying output constraints", Mechanical Systems and Signal Processing, 100, pp. 311- 329 (2018). 19. Rahmani, S. and Shahriari-kahkeshi, M. Adaptive dynamic surface control design for a class of uncertain nonlinear systems using interval type-2 fuzzy systems", Iranian Conference on Electrical Engineering, Tehran, Iran, pp. 817-822 (2017). 20. Liu, X., Su, C.Y., and Yang, F. FNN approximationbased active dynamic surface control for suppressing chatter in micro-milling with piezo-actuators", IEEE Transactions on Systems Man Cybernetics-Systems, 47(8), pp. 2100-2113 (2017). 21. Zhu, Q., Ma, J., Liu, Z., and Liu, K. Containment control of autonomous surface vehicles: A nonlinear disturbance observer-based dynamic surface control design", Advances in Mechanical Engineering, 9(10), pp. 1-13 (2017). 22. Zhou, C., Zhu, J., Lei, H., and Yuan, X. Observerbased dynamic surface control for high-performance aircraft subjected to unsteady aerodynamics and actuator saturation", Proceedings of the Institution of Mechanical Engineers Part I-Journal of Systems and Control Engineering, 231(6), pp. 481-494 (2017). 23. Dian, S., Chen, L., Son, H., Zhao, T., and Tan, J. Gain scheduled dynamic surface control for a class of underactuated mechanical systems using neural network disturbance observer", Neurocomputing, 275, pp. 1998-2008 (2018). 24. Yu, Z., Qu, Y., and Zhang, Y. Robust adaptive dynamic surface control for receiver UAV during boom refueling in the presence of vortex", 29th Chinese Control and Decision Conference, Chongqing, China, pp. 1798-1803 (2017). 25. Li, X., Wang L., and Sun, Y. Dynamic surface backstepping sliding mode position control of permanent magnet linear synchronous motor", IEEE International Electric Machines and Drives Conference, Miami, FL, USA, pp. 1-7 (2017). 26. Chen, Z., Lin, Z., Huang, G., Jia, H., and Yue, C. Particle swarm optimized adaptive dynamic surface control for PMSM servo system", 36th Chinese Control Conference (CCC), Dalian, China, pp. 4751-4756 (2017). C.G. Li et al./Scientia Iranica, Transactions B: Mechanical Engineering 26 (2019) 2749{2759 2759 27. Liang, T., Wang, W., Wu, S., and Lu, K. Nonlinear attitude control of tiltrotor aircraft based on dynamic surface adaptive backstepping", 29th Chinese Control and Decision Conference, Chongqing, China, pp. 603- 608 (2017). 28. Yoo, S.J., Jin, B.P., and Choi, Y.H. Adaptive output feedback control of exible-joint robots using neural networks: dynamic surface design approach", IEEE Trans Neural Networks, 19(10), pp. 1712-1726 (2008). 29. Ortega, R. and Spong, M.W. Adaptive motion control of rigid robots: a tutorial", Automatica, 25(6), pp. 877-888 (1989).
1
ORIGINAL_ARTICLE
Cooperative control of a gripped load by a team of quadrotors
In this paper, an output tracking controller is proposed for cooperative transport of a gripped load by a team of quadrotors. The proposed control law requires measurement of only four state variables; position and yaw angle of the system. Moreover, the controller provides rejection of step and ramp external force disturbances. Also, the control basis vectors derived via optimization facilitate real time determination of quadrotors' control inputs. Numerical simulations show effectiveness of the proposed control scheme and its superiority over formerly designed controllers for such systems.
http://scientiairanica.sharif.edu/article_20642_139d177c1e5f88a7f43eca0ff6571aeb.pdf
2019-10-01
2760
2769
10.24200/sci.2018.20642
Output tracking control
Cooperative transport
Gripped load
Quadrotors
Disturbance rejection
H.
Sayyaadi
sayyaadi@sharif.edu
1
School of Mechanical Engineering, Sharif University of Technology, Azadi Avenue, Tehran 11155-9567 Iran
LEAD_AUTHOR
A.
Soltani
2
School of Mechanical Engineering, Sharif University of Technology, Azadi Avenue, Tehran 11155-9567 Iran
AUTHOR
1. Bisgaard, M., la Cour-Harbo, A., Johnson, E.N., and Bendtsen, J.D. Vision aided state estimator for helicopter slung load system", IFAC Proceedings Volumes, 40(7), pp. 425-430 (2007). 2. Cruz, P. and Fierro, R. Autonomous lift of a cablesuspended load by an unmanned aerial robot", IEEE Conference on Control Applications (CCA), pp. 802- 807 (2014). 3. Dai, S., Lee, T., and Bernstein, D.S. Adaptive control of a quadrotor UAV transporting a cable-suspended load with unknown mass", 53rd IEEE Conference on Decision and Control, pp. 6149-6154 (2014). 4. Faust, A., Palunko, I., Cruz, P., Fierro, R., and Tapia, L. Learning swing-free trajectories for UAVs with a suspended load", IEEE International Conference on Robotics and Automation, pp. 4902-4909 (2013). 5. Faust, A., Palunko, I., Cruz, P., Fierro, R., and Tapia, L. Automated aerial suspended cargo delivery through reinforcement learning", Arti_cial Intelligence, 247, pp. 381-398 (2014). 6. Feng, Y., Rabbath, C.A., and Su, C.-Y. Modeling of a micro UAV with slung payload", In Handbook of Unmanned Aerial Vehicles, K.P. Valavanis and G.J. Vachtsevanos, Eds., pp. 1257-1272, Springer Netherlands, Dordrecht (2015). 7. Goodarzi, F.A., Lee, D., and Lee, T. Geometric stabilization of a quadrotor UAV with a payload connected by exible cable", American Control Conference, pp. 4925-4930 (2014). 8. Goodarzi, F.A., Lee, D., and Lee, T. Geometric control of a quadrotor UAV transporting a payload connected via exible cable", International Journal of Control, Automation and Systems, 13(6), pp. 1486- 1498 (2015). 9. Lee, T., Sreenath, K., and Kumar, V. Geometric control of cooperating multiple quadrotor UAVs with a suspended payload", 52nd IEEE Conference on Decision and Control, pp. 5510-5515 (2013). 10. Notter, S., Heckmann, A., McFadyen, A., and Gonzalez, F. Modelling, simulation and ight test of a model predictive controlled multirotor with heavy slung load", IFAC-PapersOnLine, 49(17), pp. 182-187 (2016). 11. Palunko, I., Cruz, P., and Fierro, R. Agile load transportation : Safe and e_cient load manipulation with aerial robots", IEEE Robotics & Automation Magazine, 19(3), pp. 69-79 (2012). 12. Palunko, I., Faust, A., Cruz, P., Tapia, L., and Fierro, R. A reinforcement learning approach towards H. Sayyaadi and A. Soltani/Scientia Iranica, Transactions B: Mechanical Engineering 26 (2019) 2760{2769 2769 autonomous suspended load manipulation using aerial robots", IEEE International Conference on Robotics and Automation, pp. 4896-4901 (2013). 13. Palunko, I., Fierro, R., and Cruz, P. Trajectory generation for swing-free maneuvers of a quadrotor with suspended payload: A dynamic programming approach", IEEE International Conference on Robotics and Automation, pp. 2691-2697 (2012). 14. Potter, J.J., Adams, C.J., and Singhose, W. A planar experimental remote-controlled helicopter with a suspended load", IEEE/ASME Transactions on Mechatronics, 20(5), pp. 2496-2503 (2015). 15. Sreenath, K., Lee, T., and Kumar, V. Geometric control and di_erential atness of a quadrotor UAV with a cable-suspended load", 52nd IEEE Conference on Decision and Control, pp. 2269-2274 (2013). 16. Sreenath, K., Michael, N., and Kumar, V. Trajectory generation and control of a quadrotor with a cablesuspended load - A di_erentially-at hybrid system", IEEE International Conference on Robotics and Automation, pp. 4888-4895 (2013). 17. Tang, S. and Kumar, V. Mixed Integer Quadratic Program trajectory generation for a quadrotor with a cable-suspended payload", IEEE International Conference on Robotics and Automation (ICRA), pp. 2216- 2222 (2015). 18. Wu, G. and Sreenath, K. Geometric control of multiple quadrotors transporting a rigid-body load", 53rd IEEE Conference on Decision and Control, pp. 6141- 6148 (2014). 19. Wu, G. and Sreenath, K. Variation-based linearization of nonlinear systems evolving on SO(3) and S2", IEEE Access, 3, pp. 1592-1604 (2015). 20. Lindsey, Q., Mellinger, D., and Kumar, V. Construction with quadrotor teams", Autonomous Robots, 33(3), pp. 323-336 (2012). 21. Mellinger, D., Shomin, M., Michael, N., and Kumar, V. Cooperative grasping and transport using multiple quadrotors", In Distributed Autonomous Robotic Systems: The 10th International Symposium, A. Martinoli, F. Mondada, N. Correll, et al., Eds., pp. 545-558, Springer Berlin Heidelberg, Berlin, Heidelberg (2013). 22. Rubio, A.A., Seuret, A., Ariba, Y., and Mannisi, A. Optimal control strategies for load carrying drones", In Delays and Networked Control Systems, A. Seuret, L. Hetel, J. Daafouz, and K. H. Johansson, Eds., pp. 183-197, Springer International Publishing, Cham (2016). 23. Sadeghzadeh, I., Abdolhosseini, M., and Zhang, Y. Payload drop application of unmanned quadrotor helicopter using gain-scheduled pid and model predictive control techniques", Intelligent Robotics and Applications, pp. 386-395 (2012). 24. Pounds, P.E.I., Bersak, D.R., and Dollar, A.M. Stability of small-scale UAV helicopters and quadrotors with added payload mass under PID control", Autonomous Robots, 33(1), pp. 129-142 (2012). 25. Parra-Vega, V., Sanchez, A., Izaguirre, C., Garcia, O., and Ruiz-Sanchez, F. Toward aerial grasping and manipulation with multiple UAVs", Journal of Intelligent& Robotic Systems, 70(1), pp. 575-593 (2013).
1
ORIGINAL_ARTICLE
Natural convection of CNT-water nanofluid in an annular space between confocal elliptic cylinders with constant heat flux on inner wall
In this paper, free convection heat transfer in an annulus between confocal elliptic cylinders filled with CNT-water nanofluid is investigated numerically. The inner cylinder is at constant surface heat flux while the outer wall is isothermally cooled. Equations of continuity, momentum and energy are formulated using the dimensionless form in elliptic coordinates for two-dimensional, laminar and incompressible flow under steady state condition, which is expressed in terms of vorticity and stream function. The governing equations are discretized using the control volume method. For the thermo-physical properties of CNTs, empirical correlations are used in terms of the volume fraction of nanoparticles. For the effective thermal conductivity of CNTs, a new model has been used. The study is performed for modified Rayleigh number (103≤ Ram ≤106), volume fraction of nanoparticles (0≤ f ≤0.12). The eccentricity of the inner and outer ellipses and the angle of orientation are fixed at 0.9, 0.6 and 0°, respectively. Results are presented in the form of streamlines, isotherm contours, and distribution of temperature and local and average Nusselt numbers on solid boundaries. The results are also discussed in detail and a very good agreement exists between the present results and those from the literature.
http://scientiairanica.sharif.edu/article_21069_3315cfd09e058450dd91bf3c4157dc8e.pdf
2019-10-01
2770
2783
10.24200/sci.2018.21069
Natural steady convection
CNT-water nanofluid
confocal elliptic cylinders
constant heat flux
T.
Tayebi
1
Energy Physics Laboratory, Department of Physics, Faculty of Exact Sciences, Mentouri Brothers Constantine1 University, Constantine, 25000, Algeria. Faculty of Sciences and Technology, Mohamed El Bachir El Ibrahimi University, Bordj Bou Arreridj, El-Anasser, 34030, Algeria.
AUTHOR
A.J.
Chamkha
2
Department of Mechanical Engineering, Prince Mohammad Bin Fahd University, Al-Khobar, 31952, Saudi Arabia. Prince Sultan Endowment for Energy and Environment, Prince Mohammad Bin Fahd University, Al-Khobar, 31952, Saudi Arabia.
LEAD_AUTHOR
M.
Djezzar
3
Energy Physics Laboratory, Department of Physics, Faculty of Exact Sciences, Mentouri Brothers Constantine1 University, Constantine, 25000, Algeria
AUTHOR
1. Abu-Nada, E. and Chamkha, A.J. E_ect of nanouid variable properties on natural convection in enclosures _lled with a CuO-EG-water nanouid", Int. J. Therm. Sci., 49(12), pp. 2339-2352 (2010). 2. Abu-Nada, E. and Chamkha, A.J. Mixed convection ow in a lid-driven inclined square enclosure _lled with a nanouid", Eur. J. Mech. B/Fluids, 29(6), pp. 472- 482 (2010). 3. Basak, T. and Chamkha, A.J. Heatline analysis on natural convection for nanouids con_ned within square cavities with various thermal boundary conditions", Int. J. Heat Mass Transfer, 55(21-22), pp. 5526-5543 (2012). 4. Chamkha, A.J. and Abu-Nada, E. Mixed convection ow in single-and double-lid driven square cavities _lled with water-Al2O3 nanouid: E_ect of viscosity models", Eur. J. Mech. B/Fluids, 36, pp. 82-96 (2012). 5. Tayebi, T., Djezzar, M., and Saadaoui, K. E_ect of sinusoidal thermal boundary condition on natural convection in a cavity _lled with Cu-water nanouid", J. Nanouids, 2(2), pp. 120-126 (2013). 6. Chamkha, A.J. and Ismael, M.A. Conjugate heat transfer in a porous cavity _lled with nanouids and heated by a triangular thick wall", Int. J. Therm. Sci., 67, pp. 135-151 (2013). 7. Chamkha, A.J. and Ismael, M.A. Natural convection in di_erentially heated partially porous layered cavities _lled with a nanouid", Numer. Heat Transfer, Part A, 65(11), pp. 1089-1113 (2014). 8. Alinia, M., Gorji-Bandpy, M., Ganji, D.D., Soleimani, S., Ghasemi, E., and Darvan, A. Two-phase natural convection of SiO2-water nanouid in an inclined square enclosure", Scientia Iranica, B, 21(5), pp. 1643- 1654 (2014). 9. Tayebi, T. and Djezzar, M. Numerical study of natural convection ow in a square cavity with linearly heating on bottom wall using copper-water nanouid", J. Nanouids, 4(1), pp. 38-49 (2015). 10. Sheremet, M.A. and Pop, I. Mixed convection in a liddriven square cavity _lled by a nanouid: Buongiorno's mathematical model", Appl. Math. Comput., 266, pp. 792-808 (2015). 11. Sheremet, M.A., Pop, I., and Bachok, N. E_ect of thermal dispersion on transient natural convection in a wavy-walled porous cavity _lled with a nanouid" Tiwari and Das' nanouid model", Int. J. Heat Mass Transfer, 92, pp. 1053-1060 (2016). 12. Kamali, R. and Binesh, A. Numerical investigation of heat transfer enhancement using carbon nanotubebased non-Newtonian nanouids", Int. Commun. Heat Mass Transfer, 37(8), pp. 1153-1157 (2010). 13. Xu, X., Li, H., and Xian, G. Energy dissipation behaviors of surface treated multi-walled carbon nanotubes-based nanouid", Mater. Lett., 66(1), pp. 176-178 (2012). 14. Harish, S., Ishikawa, K., Einarsson, E., Aikawa, S., Chiashi, S., Shiomi, J., and Maruyama, S. Enhanced thermal conductivity of ethylene glycol with singlewalled carbon nanotube inclusions", Int. J. Heat Mass Transfer, 55(13-14), pp. 3885-3890 (2012). 15. Kumaresan, V., Velraj, R., and Das, S.K. Convective heat transfer characteristics of secondary refrigerant based CNT nanouids in a tubular heat exchanger", Int. J. Refrigeration, 35(8), pp. 2287-2296 (2012). 16. Youse_, T., Veisy, F., Shojaeizadeh, E., and Zinadini, S. An experimental investigation on the e_ect of MWCNT-H2O nanouid on the e_ciency of at-plate solar collectors", Exp. Therm Fluid Sci., 39, pp. 207- 212 (2012). 17. Kumaresan, V., Khader, S.M.A., Karthikeyan, S., and Velraj, R. Convective heat transfer characteristics of CNT nanouids in a tubular heat exchanger of various lengths for energy e_cient cooling/heating system", Int. J. Heat Mass Transfer, 60, pp. 413-421 (2013). 18. Halelfadl, S., Estell_e, P., Aladag, B., Doner, N., and Mar_e, T. Viscosity of carbon nanotubes water-based nanouids: Inuence of concentration and temperature", Int. J. Therm. Sci., 71, pp. 111-117 (2013). 19. Rahman, M.M, Mojumder, S., Saha, S., Mekhilef, S., and Saidur, R. E_ect of solid volume fraction and tilt angle in a quarter circular solar thermal collectors _lled with CNT-water nanouid", Int. Commun. Heat Mass Transfer, 57, pp. 79-90 (2014). 20. Rahman, M.M., Oztop, H.F., Steele, M., Naim, A.G., Al-Salem, K., and Ibrahim, T.A. Unsteady natural convection and statistical analysis in a CNT-water _lled cavity with non-isothermal heating", Int. Commun. Heat Mass Transfer, 64, pp. 50-60 (2015). 21. Tayebi, T., Ferhat, C.E., Rezig, N., and Djezzar, M. Free convection in a carbon nanotube-water nanouid _lled enclosure with power-law variation wall temperature", J. Nanouids, 5(4), pp. 531-542 (2016). 22. Al-Rashed, A.A., Kolsi, L., Kalidasan, K., Malekshah, E.H., Borjini, M.N., and Kanna, P.R. Second law analysis of natural convection in a CNT-water nanouid _lled inclined 3D cavity with incorporated Ahmed body", Int. J. Mech. Sci, 130, pp. 399-415 (2017). 23. Al-Rashed, A.A., Aich, W., Kolsi, L., Mahian, O., Hussein, A.K., and Borjini, M.N. E_ects of movableba _e on heat transfer and entropy generation in a cavity saturated by CNT suspensions: three-dimensional modeling", Entropy, 19(5), p. 200 (2017). 24. Parvin, S., Nasrin, R., Alim, M., Hossain, N., and Chamkha, A.J. Thermal conductivity variation on natural convection ow of water-alumina nanouid in an annulus", Int. J. Heat Mass Transfer, 55(19-20), pp. 5268-5274 (2012). 25. Nasrin, R., Alim, M., and Chamkha, A.J. E_ect of viscosity variation on natural convection ow of wateralumina nanouid in an annulus with internal heat generation", Heat Tran. Asian Res., 41(6), pp. 536- 552 (2012). 26. Matin, M.H. and Pop, I. Natural convection ow and heat transfer in an eccentric annulus _lled by Copper nanouid", Int. J. Heat Mass Transfer, 61, pp. 353- 364 (2013). 27. Mehrizi, A.A., Farhadi, M., and Shayamehr, S. Natural convection ow of Cu-Water nanouid in horizontal cylindrical annuli with inner triangular cylinder using lattice Boltzmann method", Int. Commun. Heat Mass Transfer, 44, pp. 147-156 (2013). 28. Izadi, M., Shahmardan, M., and Behzadmehr, A. Richardson number ratio e_ect on laminar mixed convection of a nanouid ow in an annulus", Int. J. Comput. Methods Eng. Sci. Mech., 14(4), pp. 304-316 (2013). 29. Sheikholeslami, M., Gorji-Bandpy, M., and Ganji, D. Natural convection in a nanouid _lled concentric annulus between an outer square cylinder and an inner elliptic cylinder", Scientia Iranica, B, 20(4), pp. 1241- 1253 (2013). 30. Matin, M.H. and Pop, I. Numerical study of mixed convection heat transfer of a nanouid in an eccentric annulus", Numer. Heat Transfer, Part A, 65(1), pp. 84-105 (2014). 31. Seyyedi, S., Dayyan, M., Soleimani, S., and Ghasemi, E. Natural convection heat transfer under constant heat ux wall in a nanouid _lled annulus enclosure", Ain Shams Eng. J., 6(1), pp. 267-280 (2015). 32. Arbaban, M. and Salimpour, M. Enhancement of laminar natural convective heat transfer in concentric annuli with radial _ns using nanouids", Heat Mass Transfer., 51(3), pp. 353-362 (2015). 33. Mokhtari Moghari, R., Talebi, F., Rafee, R., and Shariat, M. Numerical study of pressure drop and thermal characteristics of Al2O3-water nanouid ow in horizontal annuli", Heat Transfer Eng., 36(2), pp. 166-177 (2015). 34. Tayebi, T., Djezzar, M., Bouzerzour, A., Azzouz, K., and Khan, Z.H. Numerical simulation of natural convection of water based nanouids in horizontal eccentric cylindrical annuli", J. Nanouids, 5(2), pp. 253-263 (2016). 35. Tayebi, T. and Chamkha, A.J. Natural convection enhancement in an eccentric horizontal cylindrical annulus using hybrid nanouids", Numer. Heat Transfer, Part A, 71(11), pp. 1159-1173 (2017). 36. Lee, J.H. and Lee, T.S. Natural convection in the annuli between horizontal confocal elliptic cylinders", Int. J. Heat Mass Transfer, 24(10), pp. 1739-1742 (1981). 37. Schreiber, W.C. and Singh, S.N. Natural convection between confocal horizontal elliptical cylinders", Int. J. Heat Mass Transfer, 28(4), pp. 807-822 (1985). 38. Elshamy, M., Ozisik, M., and Coulter, J. Correlation for laminar natural convection between confocal horizontal elliptical cylinders", Numer. Heat Transfer, 18(1), pp. 95-112 (1990). 39. Cheng, C.-H. and Chao, C.-C. Numerical prediction of the buoyancy-driven ow in the annulus between horizontal eccentric elliptical cylinders", Numer. Heat Transfer Part A Applications, 30(3), pp. 283-303 (1996). 40. Mota, J., Esteves, I., Portugal, C., Esperan_ca, J., and Saatdjian, E. Natural convection heat transfer in horizontal eccentric elliptic annuli containing saturated porous media", Int. J. Heat Mass Transfer, 43(24), pp. 4367-4379 (2000). 41. Hirose, K., Hachinohe, T., and Ishii, Y. Natural convection heat transfer in eccentric horizontal annuli between a heated outer tube and a cooled inner tube with di_erent orientation: The case of an elliptical outer tube", Heat Tran. Asian Res., 30(8), pp. 624- 635 (2001). 42. Zhu, Y., Shu, C., Qiu, J., and Tani, J. Numerical simulation of natural convection between two elliptical cylinders using DQ method", Int. J. Heat Mass Transfer, 47(4), pp. 797-808 (2004). 43. Zerari, K., Afrid, M., and Groulx, D. Forced and mixed convection in the annulus between two horizontal confocal elliptical cylinders", Int. J. Therm. Sci., 74, pp. 126-144 (2013). 44. Bouras, A., Djezzar, M., Naji, H., and Ghernoug, C. Numerical computation of double-di_usive natural convective ow within an elliptic-shape enclosure", Int. Commun. Heat Mass Transfer., 57, pp. 183-192 (2014). 45. Izadi, M., Behzadmehr, A., and Jalali-Vahida, D. Numerical study of developing laminar forced convection of a nanouid in an annulus", Int. J. Therm. Sci., 48(11), pp. 2119-2129 (2009). 46. Dawood, H., Mohammed, H., and Munisamy, K. Heat transfer augmentation using nanouids in an elliptic annulus with constant heat ux boundary condition", Case Stud. Therm. Eng., 4, pp. 32-41 (2014). 47. Tayebi, T., Chamkha, A.J., Djezzar, M., and Bouzerzour, A. Natural convective nanouid ow in an annular space between confocal elliptic cylinders", J. Thermal Sci. Eng. Appl., 9(1), 011010, pp. 1-9 (2017). 48. Tayebi, T. and Chamkha, A.J. Free convection enhancement in an annulus between horizontal confocal elliptical cylinders using hybrid nanouids", Numer. Heat Transfer, Part A, 70(10), pp. 1141-1156 (2016). 49. Moon, P. and Spencer, D., Field Theory Handbook, New York, Springer Verlag (1971). 50. Brinkman, H. The viscosity of concentrated suspensions and solutions", J. Chem. Phys., 20(4), pp. 571- 581 (1952). 51. Xue, Q. Model for thermal conductivity of carbon nanotube-based composites", Physica B: Condensed Matter, 368(1-4), pp. 302-307 (2005). 52. Patankar, S., Numerical Heat Transfer and Fluid Flow, New York, CRC Press (1980). 53. Nogotov, E.F. Applications of numerical heat transfer", NASA, Washington, DC, NASA STI/Recon Technical Report A, Report No. 7914672 (1978). 54. Pop, E., Mann, D., Wang, Q., Goodson, K., and Dai, H. Thermal conductance of an individual singlewall carbon nanotube above room temperature", Nano Lett., 6(1), pp. 96-100 (2006). 55. Zhang, S., Xia, M., Zhao, S., Xu, T., and Zhang, E. Speci_c heat of single-walled carbon nanotubes", Phys. Rev. B., 68(7), p. 075415 (2003).
1
ORIGINAL_ARTICLE
Cooperative search and localization of ground moving targets by a group of UAVs considering fuel constraint
A cooperative task allocation and search algorithm is proposed to find and localize a group of ground based moving targets using a group of Unmanned Air Vehicles (UAVs), working in a decentralized manner. It is assumed that targets have RF emissions. By using an algorithm including Global Search (GS), Approach Target (AT), Locate Target (LT) and Target Reacquisition (TR) modes, UAVs cooperatively search the entire parts of a desired area, approach to the detected targets, locate the targets, and search again to find the targets that stop transmitting their RF emissions during the localization process, respectively. In GS mode, UAVs utilize a cost function to select the best zone for search. In LT mode, each UAV performs a circular motion around the target and uses extended Kalman filter to estimate the target position. Furthermore, a fuel tanker is considered to provide fuel for UAVs during the flight. Therefore, two more operating modes as Approach to Fuel Tanker (AFT) and Fueling (FUE) are added to the operating modes. Before switching to the AFT mode, UAVs take turn using a fueling decision function. In AFT mode, the future position of the fuel tanker is predicted by UAVs to reduce the approach time.
http://scientiairanica.sharif.edu/article_21186_a8d2d265f662d8194dcbee1837c6c2b0.pdf
2019-10-01
2784
2804
10.24200/sci.2018.21186
UAV
Cooperative search and localization
Moving ground target
Fuel constraint
Extended Kalman filter
H.
Nobahari
nobahari@sharif.edu
1
Department of Aerospace Engineering, Sharif University of Technology, Zip Code 1458889694, Tehran, Iran
LEAD_AUTHOR
M.
Effati
2
ِDepartment of Aerospace Engineering, Sharif University of Technology, Zip Code 1458889694, Tehran, Iran
AUTHOR
M.
Motie
3
Department of Aerospace Engineering, Sharif University of Technology, Zip Code 1458889694, Tehran, Iran
AUTHOR
1. O'rourke, J. Art Gallery Theorems and Algorithms, 57, Oxford: Oxford University Press (1987). 2. Parker, L.E. and Emmons, B.A. Cooperative multi-robot observation of multiple moving targets", Robotics and Automation, Proceedings, IEEE International Conference on, IEEE, 3 (1997). 3. Dehghan, S.M., Saberi, M., Tavakkoli, M., and Moradi, H. Path planning for localization of an RF source by multiple UAVs on the Crammer-Rao lower bound", In Robotics and Mechatronics (ICRoM), First RSI/ISM International Conference on, IEEE, pp. 68-73 (2013). 4. Stegagno, P., Cognetti, M., Rosa, L., Peliti, P., and Oriolo, G. Relative localization and identi_cation in a heterogeneous multi-robot system", In: Robotics and Automation (ICRA), IEEE International Conference on, IEEE, pp. 1857-1864 (2013). 5. Natalizio, E., Surace, R., Loscr__, V., Guerriero, F., and Melodia, T. Two families of algorithms to _lm sport events with ying robots", In IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems, IEEE, pp. 319-323 (2013). 6. Chen, S., Fang, D., Chen, X., Xia, T., and Jin, M. Aerial wireless localization using target-guided ight route", In ACM SIGCOMM Computer Communication Review ACM, p. 587-588 (2014). 7. Ferreira, S., Carvalho, G., Ferreira, F., and Sousa, J. Assessing the capacity of man-portable UAVs for network access point localization, using RSSI link data", In Unmanned Aircraft Systems (ICUAS), International Conference on, IEEE, pp. 355-364 (2014). 8. E_ati, M. and Krzysztof, S. EKF and UKF localization of a moving RF ground target using a ying vehicle", IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-4 (2017). 9. Deghat, M., Xia, L., Anderson, B.D., and Hong, Y. Multi-target localization and circumnavigation by a single agent using bearing measurements", International Journal of Robust and Nonlinear Control, 25(14), pp. 2362-2374 (2015). 10. Zhou, D., Zhang, H., Pan, Q., and Zhang, K. An improved range parameterized square root cubature information _lter algorithm for multi-UAV cooperative passive location", In Information and Automation, International Conference on, IEEE, pp. 1079-1084 (2015). 11. Nagaty, A., Thibault, C., Trentini, M., Facchinetti, T., and Li, H. Construction, modeling and control of a quadrotor for target localization", In Electrical and Computer Engineering (CCECE), IEEE 28th Canadian Conference on, IEEE, pp. 308-313 (2015). 12. Hausman, K., Muller, J., Hariharan, A., Ayanian, N., and Sukhatme, G.S. Cooperative multi-robot control for target tracking with onboard sensing", The International Journal of Robotics Research, 34(13), pp. 1660-1677 (2015). 13. Nagaty, A., Thibault, C., Trentini, M., and Li, H. Probabilistic cooperative target localization", IEEE Transactions on Automation Science and Engineering, 12(3), pp. 786-794 (2015). 14. Koohifar, F., Guvenc, I., and Sichitiu, M.L., Autonomous Tracking of Intermittent RF Source Using a UAV Swarm, IEEE Access (2018). 15. Shin, H.S., Garcia, A.J., and Alvarez, S. Informationdriven persistent sensing of a non-cooperative mobile target using UAVs", Journal of Intelligent & Robotic Systems, 92(3-4), pp. 629-643 (2018). 16. Chakraborty, A., Taylor, C.N., Sharma, R., and Brink, K.M. Cooperative localization for _xed wing unmanned aerial vehicles", In IEEE/ION Position, Location and Navigation Symposium (PLANS), IEEE, pp. 106-117 (2016). H. Nobahari et al./Scientia Iranica, Transactions B: Mechanical Engineering 26 (2019) 2784{2804 2801 17. Bourgault, F., Furukawa, T., and Durrant-Whyte, H.F. Coordinated decentralized search for a lost target in a Bayesian world", Intelligent Robots and Systems (IROS 2003), Proceedings IEEE/RSJ International Conference on, 1, IEEE (2003). 18. Wang, X., Zhu, H., Zhang, D., Zhou, D., and Wang, X. Vision-based detection and tracking of a mobile ground target using a _xed-wing UAV", International Journal of Advanced Robotic Systems, 11 p. 156 (2014). 19. Pirshayan, A., Seyedarabi, H., and Haghipour, S. Target localization using cooperative unmanned aerial vehicles", Advances in Computer Science: An International Journal, 3(4), pp. 68-73 (2014). 20. Ponda, S., Kolacinski, R., and Frazzoli, E., Trajectory Optimization for Target Localization Using Small Unmanned Aerial Vehicles, Diss. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics (2008). 21. York, G. and Pack, D.J. Ground target detection using cooperative unmanned aerial systems", Journal of Intelligent & Robotic Systems, 65(1-4) pp. 473-478 (2012). 22. Dogancay, K. UAV path planning for passive emitter localization", Aerospace and Electronic Systems, IEEE Transactions on, 48(2), pp. 1150-1166 (2012). 23. Esmailifar, S.M. and Sagha_, F. A guidance based Algorithm for multiple ying vehicle search", 28th International Congress of the Aeronautical Sciences, (Sep. 2012). 24. Esmailifar, S. and Sagha_, F. Moving target localization by cooperation of multiple ying vehicles", Aerospace and Electronic Systems, IEEE Transactions on, 51(1), pp. 739-746 (2015). 25. Esmailifar, S.M. and Sagha_, F. Development and stability analysis of a cooperative search algorithm by multiple ying vehicles", Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 228(7), pp. 1058-1075 (2014). 26. Morris, K.M., Mullins, B.E., Pack, D.J., York, G.W., and Baldwin, R.O. Impact of limited communications on a cooperative search algorithm for multiple UAVs." Networking, Sensing and Control, 2006, ICNSC'06, Proceedings of the 2006 IEEE International Conference on, IEEE (2006). 27. Pack, D.J. and York, G.W. Developing a control architecture for multiple unmanned aerial vehicles to search and localize RF time-varying mobile targets: Part I", Robotics and Automation, ICRA Proceedings of the IEEE International Conference on, IEEE (2005). 28. Pack, D. and York, G. An extended time horizon search technique for cooperative unmanned vehicles to locate mobile RF targets", Conference on Collaborative Technologies and Systems, pp. 333-338 (2005). 29. Pack, D. and York, G. An extended time horizon search technique for cooperative unmanned vehicles to locate mobile RF targets", Collaborative Technologies and Systems, Proceedings of the International Symposium on, IEEE (2005). 30. Pack, D.J., DeLima, P., Toussaint, G.J., and York, G. Cooperative control of UAVs for localization of intermittently emitting mobile targets", Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 39(4), pp. 959-970 (2009). 31. Pack, D., York, G., and Toussaint, G. Localizing mobile RF targets using multiple unmanned aerial vehicles with heterogeneous sensing capabilities", Networking, Sensing and Control, Proceedings IEEE (2005). 32. Toussaint, G.J., De Lima, P., and Pack, D.J. Localizing RF targets with cooperative unmanned aerial vehicles", American Control Conference, ACC'07, IEEE (2007). 33. Plett, G., DeLima, P., and Pack, D. Target localization using multiple UAVs with sensor fusion via sigmapoint Kalman _ltering", Proceedings of the AIAA (2007). 34. Hager, C., Zarzhitsky, D., Kwon, H., and Pack, D. Cooperative target localization using heterogeneous unmanned ground and aerial vehicles", Intelligent Robots and Systems (IROS), IEEE/RSJ International Conference on, IEEE (2010). 35. Nobahari, H. and Pourtakdoust, S.H. An optimalfuzzy two-phase CLOS guidance law design using ant colony optimization", Aeronautical Journal, 111(1124), pp. 621-636 (2007). 36. Hedrick, J.K. and Girard, A. Control of nonlinear dynamic systems: Theory and applications", Controllability and observability of Nonlinear Systems (2005). 37. Kalman, R.E. On the general theory of control systems", In Proceedings First International Conference on Automatic Control, Moscow, USSR (1960). 38. James, M.R. Controllability and observability of nonlinear systems", Mathematics Department and Systems Research Center, University of Maryland, College Park, MD 20742, USA, October (1986). 39. Jazwinski, A.H., Stochastic Processes and Filtering Theory, Academic Press, New York (1970). 40. Ristic, B., Arulampalam, S., and Gordon, N. Beyond the Kalman _lter", IEEE Aerospace and Electronic Systems Magazine, 19(7), pp. 37-38 (2007).
1
ORIGINAL_ARTICLE
Influence of tool material on forces, temperature, and surface quality of Ti-15333 alloy in CT and UAT
Ultrasonically assisted turning (UAT) is a progressive machining method in which vibration is applied to the cutting insert in the direction of the cutting tool velocity to reduce the cutting forces, significantly and increase the surface finish noticeably. However, the key question about the tool damage caused by the vibration and its effect on the cutting forces, surface roughness and process zone temperature is still unknown in UAT.This paper presents experimental analysis of the effect of worn tool in UAT and conventional-turning (CT) of β-Ti-15V-3Al-3Cr-3Sn (Ti-15333) alloy on surface quality of a machined surface, temperature of the process zone and cutting forces using KC5510 (PVD TiAlN) and CP500 (PVD (Ti,Al)N-TiN) cutting inserts. In UAT, the tool edge damages in CP500 inserts increased with tested machining time resulted a growth of 8 N and 10 N in tangential force component in CT and UAT, respectively. Similarly, with the progression of tool edge damage, a growth of 1.7% and 9.3% in process zone temperature was observed in CT and UAT, respectively. The surface roughness results revealed a gradual degradation with machining time, however, the results UAT with a worn tool was significantly better when compared to CT, with a virgin tool.
http://scientiairanica.sharif.edu/article_20692_03a52a4521d68e3e43702f2b46a65454.pdf
2019-10-01
2805
2816
10.24200/sci.2018.20692
Tool wear
surface roughness
Machining
Cutting forces
Temperature in process zone
Ti-alloys
R.
Muhammad
1
Department of Mechanical Engineering, CECOS University of IT & Emerging Sciences, Peshawar, KPK, Pakistan
LEAD_AUTHOR
N.
Ahmed
2
Department of Mechanical Engineering, CECOS University of IT & Emerging Sciences, Peshawar, KPK, Pakistan
AUTHOR
S.
Maqsood
smaqsood@uetpeshawar.edu.pk
3
Faculty Of Industrial Engineering, UET Peshawar Jalozai Campus, Pakistan
AUTHOR
K.
Alam
4
Department of Mechanical and Industrial Engineering, Sultan Qaboos University, Musqat, Oman
AUTHOR
M.U.
Rehman
5
Department of Mechanical Engineering, CECOS University of IT & Emerging Sciences, Peshawar, KPK, Pakistan
AUTHOR
V. V.
Silberschmidt
6
Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK
AUTHOR
1. Peters, M. and Leyens, C., Titanium and Titanium Alloys, Wiley-VCH; Germany (2002). 2. Ucun, I., Aslantas, K., and Bedir, F. An experimental investigation of the e_ect of coating material on tool wear in micro milling of Inconel 718 super alloy", Wear, 300(1-2), pp. 8-19 (2013). 3. _Avila, R.F., Mancosu, R.D., Machado, A.R., Vecchio, S.D., da Silva, R.B., and Vieira, J.M. Comparative analysis of wear on PVD TiN and (Ti1-x Alx)N coatings in machining process", Wear, 302(1-2), pp. 1192-1200 (2013). 4. Ezugwu, E., Da Silva, R.B., Bonney, J., and Machado, A.R. Evaluation of the performance of CBN tools when turning Ti-6Al-4V alloy with high pressure coolant supplies", Int. J. of Mach. Tools and Manuf., 45, pp. 1009-1014 (2005). 5. Ozel, T. Computational modelling of 3D turning: Inuence of edge micro-geometry on forces, stresses, friction and tool wear in PcBN tooling", J. of Mater. Proc. Tech., 209, pp. 5167-5177 (2009). 6. Mkaddem, A., Soussia, A.B., and Mansori, M.E. Wear resistance of CVD and PVD multilayer coatings when dry cutting _ber reinforced polymers (FRP)", Wear, 302(1-2), pp. 946-954 (2013). 7. M'Saoubi, R., Johansson, M.P., and Andersson, J.M., Wear mechanisms of PVD-coated PCBN cutting tools", Wear, 302(1-2), pp. 1219-1229 (2013). 8. Dhar, N.R., Kishore, S.V.N., Paul, S., and Chattopadhyay, A.B., The e_ects of cryogenic cooling on chips and cutting forces in turning AISI 1040 and AISI 4320 steel", J. of Eng. Manuf., 216-part B, pp. 713-724 (2002). 9. Bermingham, M.J., Kirsch, J., Sun, S., Palanisamy, S., and Dargusch, M.S., New observations on tool life, cutting forces and chip morphology in cryogenic machining Ti-6Al-4V", Int. J. of Mach. Tools and Manuf, 51(6), pp. 500-511 (2011). 10. Dhananchezian, M. and Kumar, P.M. Cryogenic turning of the Ti-6Al-4V alloy with modi_ed cutting tool inserts", Cryogenics, 51, pp. 34-40 (2011). 11. Machai, C. and Biermann, D. Machining of titaniumalloy Ti-10V-2Fe-3Al under cryogenic conditions: cooling with carbon dioxide snow", J. of Mater. Proc. Tech, 211, pp. 1175-1183 (2011). 12. Wang, Z.Y., Rajurkar, K.P., Fan, J., Lei, S., Shin, Y.C., and Petrescu, G. Hybrid machining of Inconel 718", Int. J. of Mach. Tools and Manuf, 43(13), pp. 1391-1396 (2003). 13. Dandekar, C.R., Shin, Y.C., and Barnes, J. Machinability improvement of titanium alloy (Ti-6Al-4V) via LAM and hybrid machining", Int. J. of Mach. Tools and Manuf, 50(2), pp. 174-182 (2010). 14. Muhammad, R., Maurotto, A., Demiral, M., Roy, A., and Silberschmidt, V.V. Thermally enhanced ultrasonically assisted machining of Ti alloy", CIRP J. of Manuf. Sci. and Tech, 7(2), pp. 159-167 (2014). 15. Muhammad, R., Hussain, M.S., Maurotto, A., Siemers, C., Roy, A., and Silberschmidt, V.V. Analysis of a free machining _ + _ titanium alloy using conventional and ultrasonically assisted turning", J. of Mater. Proc. Tech, 214(4), pp. 906-915 (2014). 16. Maurotto, A., Siemers, C., Muhammad, R., Roy, A., and Silberschmidt, V.V. Ti alloy with enhanced machinability in UAT turning", Metall. and Mater. Trans. A, 45(6), pp. 2768-2775 (2014). 17. Muhammad, R., Roy, A., and Silberschmidt, V.V. Finite element modelling of conventional and hybrid oblique turning processes of titanium alloy", Proc. CIRP, 8, pp. 509-514 (2013). 18. Muhammad, R., Demiral, M., Roy, A., and Silberschmidt, V.V. Modelling the dynamic behaviour of hard-to-cut alloys under conditions of vibro-impact cutting", J. of Phy.: Conf. Ser., 451, pp. 1-11 (2013). 19. Maurotto, A., Muhammad, R., Roy, A., and Silberschmidt, V.V. Enhanced ultrasonically assisted turning of a _-Titanium alloy", Ultrasonics, 53(7), pp. 1242-1250 (2013). 20. Nategh, M.J., Razavi, H., and Abdullah, A. Analytical modeling and experimental investigation of ultrasonic-vibration assisted oblique turning, part I: Kinematics analysis", Int. J. of Mech. Sci., 63(1), pp. 1-11 (2012). 21. Muhammad, R., Maurotto, A., Roy, A., and Silberschmidt, V.V. Ultrasonically assisted turning of Ti- 6Al-2Sn-4Zr-6Mo", J. of Phy.: Conf. Ser., 382, pp. 1-12 (2012). 22. Muhammad, R., Ahmed, N., Roy, A., and Silberschmidt, V.V. Turning of advanced alloys with vibrating cutting tool", Solid State Phenom., 188, pp. 277-284 (2012). 23. Muhammad, R., Ahmed, N., Roy, A., and Silberschmidt, V.V. Numerical modelling of vibrationassisted turning of Ti-15333", Proc. CIRP, 1, pp. 347- 352 (2012). 24. Maurotto, A., Muhammad, R., Roy, A., Babitsky, V.I., and Silberschmidt, V.V. Comparing machinability of Ti-15-3-3-3 and Ni-625 alloys in UAT", Proc. CIRP, 1, pp. 330-335 (2012). 25. Mitrofanov, A.V., Babitsky, V.I., and Silberschmidt, V.V. Thermomechanical _nite element simulations of ultrasonically assisted turning", Comput. Mater. Sci., 32, pp. 463-471 (2005). 26. Sharman, A., Bowen, P., Aspinwall, D., and Dewes, C., Ultrasonic Assisted Turning of Gamma Titanium Aluminide, Rolls-Royce PLC (2001). 27. Kumabe, J., Fuchizawa, K., Soutome, T., and Nishimoto, Y. Ultrasonic superposition vibration cutting of ceramics", Prec. Eng., 11(2) pp. 71-77 (1989). 28. Ahmed, N., Mitrofanov, A.V., Babitsky, V.I., and Silberschmidt, V.V. Stresses in ultrasonically assisted turning", App. Mech. and Mater., 5, pp. 351-358 (2006). 29. Muhammad, R., Maurotto, A., Roy, A., and Silberschmidt, V.V. Hot ultrasonically assisted turning of _-Ti alloy", Proc. CIRP, 1, pp. 336-341 (2012). 30. Muhammad, R., Maurotto, A., Roy, A., and Silberschmidt, V.V. Analysis of forces in vibro-impact and hot vibro-impact turning of advanced alloys", App. Mech. and Mater., 70, pp. 315-320 (2011). 31. Muhammad, R., Ahmed, N., Ullah, H., Roy, A., and Silberschmidt, V.V. Hybrid machining process: Experimental and numerical analysis of hot ultrasonically assisted turning", Int. J. Adv. Manuf. Tech., 97, pp. 2173-2192 (2018). 32. Muhammad, R., Ahmed, N. Ullah, H., and Silberschmidt, V.V. Dynamic behaviour of _-Ti-15333 in ultrasonically assisted turning: Experimental and numerical analysis", Scientia Iranica, Transac. B: Mech. Engg, 24(6), pp. 2904-2914 (2017). 33. Exner, H.E. and Gurland, J.A. A review of parameters inuencing some mechanical properties of tungsten carbide cobalt alloys", Powd. Metall., 13, pp. 13-31 (1970). 34. Mills, B. and Redford, A.H. Machinability of Engineering Materials, London; New York, Applied Science Publishers (1983). 35. Muhammad, R, Mistry, A, Khan, S. W, Ahmed, N., Roy, A., and Silberschmidt, V. V., Analysis of tool wear in ultrasonically assisted turning of _-Ti- 15V-3Al-3Cr-3Sn alloy" Scientia Iranica, Transac. B: Mech. Engg., 23(4), pp. 1800-1810 (2016). 36. Komanduri, R. and Hou, Z.B. On thermoplastic shear instability in the machining of a titanium alloy (Ti-6Al- 4V)", Metall. and Mater. Trans. A, 33(9), pp. 2995- 3010 (2002). 37. Ulutan, D. and Ozel, T. Machining induced surface integrity in titanium and nickel alloys: A review", Int. J. of Mach. Tools and Manuf, 51(3), pp. 250-280 (2011).
1
ORIGINAL_ARTICLE
Soret and Dufour effects on doubly diffusive convection of nanofluid over a wedge in the presence of thermal radiation and suction
This paper is devoted to investigate the influences of thermal radiation, Dufour and Soret effects on doubly diffusive convective heat transfer of nanoliquid over a wedge in the presence of wall suction. The governing equations are transformed to nonlinear ordinary differential equations using similarity transformation. The resulting system is solved numerically using fourth-order Runge-Kutta-Gill method with shooting technique and Newton-Raphson method. The solutions are expressed in terms of velocity, temperature, solutal concentration and volume fraction profiles. The effects of pertinent parameters entering into the problem such as wedge angle, thermal radiation, Brownian motion, thermophoresis, Soret and Dufour numbers on the skin friction coefficient, local Nusselt number and local Sherwood number are discussed in detail.
http://scientiairanica.sharif.edu/article_20997_32c69b268a0e8396ceb6489f7521026a.pdf
2019-10-01
2817
2826
10.24200/sci.2018.20997
Soret and Dufour
double diffusive
nanoliquid
wedge
radiation
R.Md.
Kasmani
1
Centre for Foundation Studies in Science, University of Malaya, Kuala Lumpur 50603, Malaysia
AUTHOR
S.
Sivasankaran
2
Department of Mathematics, King Abdulaziz University, Jeddah 21589, Saudi Arabia
LEAD_AUTHOR
M.
Bhuvaneswari
3
Department of Mathematics, King Abdulaziz University, Jeddah 21589, Saudi Arabia
AUTHOR
A.S.
Alshomrani
4
Department of Mathematics, King Abdulaziz University, Jeddah 21589, Saudi Arabia
AUTHOR
Z.
Siri
5
Institute of Mathematical Sciences, University of Malaya, Kuala Lumpur 50603, Malaysia
AUTHOR
1. Buongiorno, J. Convective transport in nanouids", ASME J. Heat Transfer, 128, pp. 240-250 (2006). 2. Sivasankaran, S. and Pan, K.L. Natural convection of nanouids in a cavity with non-uniform temperature distributions on side walls", Numer. Heat Transfer A, 65, pp. 247-268 (2014). 3. Khorasanizadeh, H., Amani, J., and Nikfar, M. Effect of Brownian and thermophoretic di_usions of nanoparticles on non-equilibrium heat conduction in a nanouid layer with periodic heat ux", Sci. Iran. F, 19(6), pp. 1996-2003 (2012). 4. Sivasankaran, S., Aasaithambi, T., and Rajan, S. Natural convection of nanouids in a cavity with linearly varying wall temperature", Maejo Int. J. Sci. Tech., 4, pp. 468-482 (2010). R. Md. Kasmani et al./Scientia Iranica, Transactions B: Mechanical Engineering 26 (2019) 2817{2826 2825 5. Abdul Hakeem, A.K., Vishnu Ganesh, N., and Ganga, B. Heat transfer of non-Darcy MHD ow of a nanouid over a stretching/shrinking surface in a thermally strati_ed medium with second order slip model", Scientia Iranica B, 22(6), pp. 2766-2784 (2015). 6. Mollamahdi, M., Abbaszadeh, M., and Sheikhzadeh, G.A. Analytical study of Al2O3-Cu/water micropolar hybrid nanouid in a porous channel with expanding/ contracting walls in the presence of magnetic _eld", Scientia Iranica B, 25(1), pp. 208-220 (2018). 7. Hayat, T., Ullah, I., Alsaedi, A., and Ahmad, B. Modeling tangent hyperbolic nanoliquid ow with heat and mass ux conditions", Eur. Phys. J. Plus, 132, p. 112 (2017). 8. Sheikholeslami, M. and Ganji, D.D. Magnetohydrodynamic ow in a permeable channel _lled with nanouid", Scientia Iranica B, 21(1), pp. 203-212 (2014). 9. Bhuvaneswari, M., Sivasankaran, S., and Kim, Y.J. Numerical study on double di_usive mixed convection with a Soret e_ect in a two-sided lid-driven cavity", Numer. Heat Transfer A, 59, pp. 543-560 (2011). 10. Kuznetsov, A.V. and Nield, D.A. Double-di_usive natural convective boundary-layer ow of a nanouid past a vertical plate", Int. J. Thermal Sci., 50, pp. 712-717 (2011). 11. Nield, D.A. and Kuznetsov, A.V. The Cheng- Minkowycz problem for the double-di_usive natural convective boundary layer ow in a porous medium saturated by a nanouid", Int. J. Heat Mass Transfer, 54, pp. 374-378 (2011). 12. Niranjan, H., Sivasankaran, S., and Bhuvaneswari, M. Chemical reaction, Soret and Dufour e_ects on MHD mixed convection stagnation point ow with radiation and slip condition", Scientia Iranica B, 24(2), pp. 698- 706 (2017). 13. Eswaramoorthi, S., Bhuvaneswari, M., Sivasankaran, S., and Rajan, S. Soret and Dufour e_ects on viscoelastic boundary layer ow over a stretching surface with convective boundary condition with radiation and chemical reaction", Scientia Iranica B, 23(6), pp. 2575-2586 (2016). 14. Pal, D. and Mondal, H. Soret-Dufour e_ects on hydromagnetic non-Darcy convective-radiative heat and mass transfer over a stretching sheet in porous medium with viscous dissipation and Ohmic heating", J. Appl. Fluid Mech., 7, pp. 513-523 (2014). 15. Hayat, T., Ullah, I., Muhammad, T., and Alsaedi, A. Radiative three-dimensional ow with Soret and Dufour e_ects", Int. J. Mech. Sci., 133, pp. 829-837 (2017). 16. Abdul Hakeem, A.K., Govindaraju, M., Ganga, B. and Kayalvizhi, M. Second law analysis for radiative MHD slip ow of a nanouid over a stretching sheet with nonuniform heat source e_ect", Scientia Iranica B, 23(3), pp. 1524-1538 (2016). 17. Ramly, N.A., Sivasankaran, S., and Noor, N.F.M. Zero and nonzero normal uxes of thermal radiative boundary layer ow of nanouid over a radially stretched surface", Scientia Iranica B, 24(6), pp. 2895- 2903 (2017). 18. Gha_arpasand, O. Natural convection and entropy generation of ultra_ne atmospheric aerosols in the presence of hydrodynamic partial slip and thermal radiation due to solar energy", Scientia Iranica B, 24(3), pp. 1686-1705 (2017). 19. Ahmed, S.E., Hussein, A.K., Mohammed, H.A., Adegun, I.K., Zhang, X., Kolsi, L., Hasanpour, A., and Sivasankaran, S. Viscous dissipation and radiation effects on MHD natural convection in a square enclosure _lled with a porous medium", Nucl. Eng. Des., 266, pp. 34-42 (2014). 20. Bhuvaneswari, M., Sivasankaran, S., and Kim, Y.J. Lie group analysis of radiation natural convection ow over an inclined surface in a porous medium with internal heat generation", J. Porous Media, 12, pp. 1155-1164 (2012). 21. Lee, J., Kandaswamy, P., Bhuvaneswari, M., and Sivasankaran, S. Lie group analysis of radiation natural convection heat transfer past an inclined porous surface", J. Mech. Sci. Tech., 22, pp. 1779-1784 (2008). 22. Das, S., Guchhait, S.K., and Jana, R.N. E_ects of Hall currents and radiation on unsteady MHD ow past a heated moving vertical plate", J. Appl. Fluid Mech., 7, pp. 683-692 (2014). 23. Nandy, S.K. and Pop, I. E_ects of magnetic _eld and thermal radiation on stagnation ow and heat transfer of nanouid over a shrinking surface", Int. Comm. Heat Mass Transfer, 53, pp. 50-55 (2014). 24. Hayat, T., Ullah, I., Alsaedi A., and Ahmad, B. Radiative ow of Carreau liquid in presence of Newtonian heating and chemical reaction", Results Phys., 7, pp. 715-722 (2017). 25. Hayat, T., Ullah, I., Ahmad, B., and Alsaedi A. MHD mixed convection ow of third grade liquid subject to non-linear thermal radiation and convective condition", Results Phys., 7, pp. 2804-2811 (2017). 26. Falkner, V.M. and Skan, S.W. Some approximate solutions of the boundary-layer equations", Phil. Mag., 12, pp. 865-896 (1931). 27. Hossain, M.A., Banu, N., and Nakayama, A. Non- Darcy forced convection boundary layer ow over a wedge embedded in a saturated porous medium", Numer. Heat Transfer A, 26, pp. 399-414 (1994). 28. Uddin, Z and Kumar, M. Hall and ion-slip e_ect on MHD boundary layer ow of a micro polar uid past a wedge", Sci. Iran. B, 20(3), pp. 467-476 (2013). 2826 R. Md. Kasmani et al./Scientia Iranica, Transactions B: Mechanical Engineering 26 (2019) 2817{2826 29. Yih, K.A. Radiation e_ect on mixed convection over an isothermal wedge in porous media: The entire regime", Heat Transfer Eng., 22, pp. 26-32 (2001). 30. Watanabe, T., Funazaki, K., and Taniguchi, H. Theoretical analysis on mixed convection boundary layer ow over a wedge with uniform suction or injection", Acta Mechanica, 105, pp. 133-141 (1994). 31. Kasmani, R.M., Sivasankaran, S., and Siri, Z. E_ect of chemical reaction on convective heat transfer of boundary layer ow in nanouid over a wedge with heat generation/absorption and suction", J. Appl. Fluid Mech., 9(1), pp. 379-388 (2016). 32. Chamkha, A.J., Abbasbandy, S., Rashad, A.M., and Vajravelu, K. Radiation e_ects on mixed convection over a wedge embedded in a porous medium _lled with a nanouid", Transport Porous Med., 91, pp. 261-279 (2012). 33. Md Kasmani, R., Sivasankaran, S., Bhuvaneswari, M., and Hussein, A.K. Analytical and numerical study on convection of nanouid past a moving wedge with Soret and Dufour e_ects", Int. J. Numerical Methods Heat & Fluid Flow, 27(10), pp. 2333-2354 (2017).
1
ORIGINAL_ARTICLE
Dynamic adaptive mesh refinement of Fluid-structure interaction using immersed boundary method with two-stage corrections
The application of the immersed boundary method (IBM) coupled with adaptive mesh refinement (AMR) is considered one of the powerful tools for solving complex viscous incompressible flow problems. In this paper, the IBM was combined with AMR to solve complex incompressible and viscous fluid with elastic and rigid body problems concerning large structural deformations. In the IBM, the solid and fluid motions at the interface are united by a body force which can be compared to a fraction of a solid volume. The work aims to develop an automatic adaptive mesh refinement strategy to improve the solution near the fluid-structure interface. This is necessary as the flow field might be significantly affected by the structure; therefore, it was essential to precisely capture the boundary layers. The computational results highlighted the capability of this method to improve the flow resolution near the fluid structure. The proposed approach is validated using 2D numerical examples. The approach is validated in terms of its superior performance. The combined IBM-Adaptive mesh refinement approach showed a promising outcome for the investigated mechanical problem. The performance of the method in achieving a solution within a reasonably low computation time is also commendable.
http://scientiairanica.sharif.edu/article_20738_2d5fba8711bf8bf2fa1f5ebc8e061a08.pdf
2019-10-01
2827
2838
10.24200/sci.2018.50347.1650
Two-stage correction
Fluid-Structure Interaction
immersed boundary method
adaptive mesh refinement
M.S.
Aldlemy
maldleme@siswa.ukm.edu.my
1
Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia. Department of Mechanical Engineering, Collage of Mechanical Engineering Technology, Benghazi-Libya.
LEAD_AUTHOR
M.R.
Rasani
rasidi.rasani@gmail.com
2
Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
AUTHOR
T.M.Y.S.
Tuan
tyusoff.ty@petronas.com.my
3
Department of Mechanical Engineering, Faculty of Engineering, Universiti Teknologi Petronas, 31750 Tronoh, Perak, Malaysia
AUTHOR
A.K.
Ariffin
kamal3@ukm.edu.my
4
Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
AUTHOR
1. Zhang, Q. and Hisada, T. Analysis of uid-structure interaction problems with structural buckling and large domain changes by ALE _nite element method", Comput. Methods Appl. Mech. Eng., 190, pp. 6341- 6357 (2001). 2. Bungartz, H.J. and Schafer, M.Ed., Fluid-Structure- Interaction: Modelling, Simulation, Optimization, Springer Science & Business Media, 53 (2006). 3. Tezduyar, T.E., Sathe, S., Schwaab, M., and Conklin, B.S. Arterial uid mechanics modeling with the stabilized space{time uid{structure interaction technique", Int. J. Numer. Methods Fluids, 57(5) pp. 601-629 (2008). 4. Gebreslassie, M.G., Tabor, G.R., and Belmont, M.R. Numerical simulation of a new type of cross ow tidal turbine using OpenFOAM - Part II: Investigation of turbine-to-turbine interaction", Renew. Energy, 50, pp. 1005-1013 (2013). 5. Zhong, J. and Xu, Z. A reduced mesh movement method based on pseudo elastic solid for uid-structure interaction", Proceedings of the Institution of Mechanical Engineers Part C: Journal of Mechanical Engineering Science, 232(6), pp. 973-986 (2018). 6. Costarelli, S.D., Garelli, L., Cruchaga, M.A., Storti, M.A., Ausensi, R., and Idelsohn, S.R. An embedded strategy for the analysis of uid structure interaction problems", Comput. Methods Appl. Mech. Eng., 300, pp. 106-128 (2016). 7. Farhat, C. and Lakshminarayan, V.K. An ALE formulation of embedded boundary methods for tracking boundary layers in turbulent uid-structure interaction problems", J. Comput. Phys., 263, pp. 53-70 (2014). 8. Tezduyar, T.E., Sathe, S., Cragin, T., Nanna, B., Conklin, B.S., Pausewang, J., and Schwaab, M. Modelling of uid-structure interactions with the spacetime _nite elements: Arterial uid mechanics", Int. J. Numer. Methods Fluids, 54, pp. 901-922 (2007). 9. Tezduyar, T.E. and Sathe, S. Modelling of uidstructure interactions with the space-time _nite elements: Solution techniques", Int. J. Numer. Methods Fluids, 54, pp. 855-900 (2007). 10. Anahid, M. and Khoei, A. Modeling of moving boundaries in large plasticity deformations via an enriched arbitrary Lagrangian-Eulerian FE method", Sci. Iran. Trans. A., J. Civ. Eng., 17, pp. 141-160 (2010). 11. Chessa, J., Smolinski, P., and Belytschko, T. The extended _nite element method (XFEM) for solidi_- cation problems", Int. J. Numer. Methods Eng., 53, pp. 1959-1977 (2002). 12. Baaijens, F.P.T. A _ctitious domain mortar element method for uid-structure interaction", Int. J. Numer. Methods Fluids, 35, pp. 743-761 (2001). 13. Mittal, R. and Iaccarino, G. Immersed boundary methods", Annu. Rev. Fluid Mech., 37, pp. 239-261 (2005). 14. Kim, J., Kim, D., and Choi, H. An immersedboundary _nite-volume method for simulations of ow in complex geometries", J. Comput. Phys., 171, pp. 132-150 (2001). 15. Zhang, L., Gerstenberger, A., Wang, X., and Liu, W.K. Immersed _nite element method", Comput. Methods Appl., Mech. Eng., 193, pp. 2051-2067 (2004). 16. Peskin, C.S. Flow patterns around heart valves: A numerical method", J. Comput. Phys., 10, pp. 252- 271 (1972). 17. Zhu, L. and Peskin, C.S. Simulation of a apping exible _lament in a owing soap _lm by the immersed boundary method", J. Comput. Phys., 179, pp. 452- 468 (2002). 18. Zhu, L. and Peskin, C.S. Drag of a exible _ber in a 2D moving viscous uid", Comput. Fluids, 36, pp. 398-406 (2007). 19. Vanella, M., Posa, A., and Balaras, E. Adaptive mesh re_nement for immersed boundary methods", J. Fluids Eng., 136, p. 40901 (2014). 20. Kajishima, T., Takiguchi, S., Hamasaki, H., and Miyake, Y. Turbulence structure of particle-laden ow in a vertical plane channel due to vortex shedding", JSME Int. J. Ser. B., 44, pp. 526-535 (2001). 21. Wall, W., Gerstenberger, A., and Mayer, U. Advances in _xed-grid uid structure interaction", In: ECCOMAS Multidisciplinary Jubilee Symposium, Springer, pp. 235-249 (2009). 22. Vanella, M., Rabenold, P., and Balaras, E. A directforcing embedded-boundary method with adaptive mesh re_nement for uid-structure interaction problems", J. Comput. Phys., 229, pp. 6427-6449 (2010). 23. Li, S. and Hyman, J.M. Adaptive mesh re_nement for _nite di_erence WENO schemes", Los Alamos Rep, LA-UR- 03-8927 (2003). M.S. Aldlemy et al./Scientia Iranica, Transactions B: Mechanical Engineering 26 (2019) 2827{2838 2837 24. Berger, M.J. and Leveque, R.J. Adaptive mesh re- _nement using wave-propagation algorithms for hyperbolic systems", SIAM J. Numer. Anal., 35, pp. 2298- 2316 (1998). 25. Li, S. Comparison of re_nement criteria for structured adaptive mesh re_nement", J. Comput. Appl. Math., 233, pp. 3139-3147 (2010). 26. Berger, M.J. and Colella, P. Local adaptive mesh re_nement for shock hydrodynamics", J. Comput. Phys., 82, pp. 64-84 (1989). 27. Berger, M.J. and Oliger, J. Adaptive mesh re_nement for hyperbolic partial di_erential equations", J. Comput. Phys., 53, pp. 484-512 (1984). 28. Lo_er, F., Cao, Z., Brandt, S.R., and Du, Z. A new parallelization scheme for adaptive mesh re_nement", J. Comput. Sci., 16, pp. 79-88 (2016). 29. Brehm, C., Hader, C., and Fasel, H.F. A locally stabilized immersed boundary method for the compressible Navier-Stokes equations", J. Comput. Phys., 295, pp. 475-504 (2015). 30. Ji, H., Lien, F.S., and Zhang, F. A GPU-accelerated adaptive mesh re_nement for immersed boundary methods", Comput. Fluids, 118, pp. 131-147 (2015). 31. Yuki, Y., Takeuchi, S., and Kajishima, T. E_cient immersed boundary method for strong interaction problem of arbitrary shape object with the self-induced ow", J. Fluid Sci. Technol., 2, pp. 1-11 (2007). 32. Ya, T., Shah, T.M.Y., Takeuchi, S., and Kajishima, T. Immersed boundary and _nite element methods approach for interaction of an elastic body and uid by two-stage correction of velocity and pressure", In ASME/JSME 2007 5th Joint Fluids Engineering Conference, pp. 75-81 (2009). 33. Baeza, A., Mart__nez-Gavara, A., and Mulet, P. Adaptation based on interpolation errors for high order mesh re_nement methods applied to conservation laws", Appl. Numer. Math., 62, pp. 278-296 (2012). 34. Zheng, X., Lowengrub, J., Anderson, A., and Cristini, V. Adaptive unstructured volume remeshing -II: Application to two- and three-dimensional level-set simulations of multiphase ow", J. Comput. Phys., 208, pp. 626-650 (2005). 35. Vanella, M. and Balaras, E. A moving-least-squares reconstruction for embedded-boundary formulations", J. Comput. Phys., 228, pp. 6617-6628 (2009). 36. Kempe, T. and Frohlich, J. An improved immersed boundary method with direct forcing for the simulation of particle laden ows", J. Comput. Phys., 231, pp. 3663-3684 (2012). 37. Schafer, M., Turek, S., Durst, F., Krause, E., and Rannacher, R. Benchmark computations of laminar ow around a cylinder", In Flow Simulation with High- Performance Computers II, pp. 547-566 (1996). 38. Codina, R., Houzeaux, G., Coppola-Owen, H., and Baiges, J. The _xed-mesh ALE approach for the numerical approximation of ows in moving domains", J. Comput. Phys., 228, pp. 1591-1611 (2009). 39. Verkaik, A.C., Hulsen, M.A., Bogaerds, A.C.B., and van de Vosse, F.N. An overlapping domain technique coupling spectral and _nite elements for uid ow", Comput. Fluids., 100, pp. 336-346 (2014). 40. Chen, X. and Yang, V. Thickness-based adaptive mesh re_nement methods for multi-phase ow simulations with thin regions", J. Comput. Phys., 269, pp. 22-39 (2014).
1
ORIGINAL_ARTICLE
High-performance controller design and evaluation for active vibration control in boring
High quality manufactured components with fast production rate is an increasing demand of modern machine tool industry. Internal machining operations due to the large length to diameter ratio are most prone to intolerable chatter vibrations and proved to be an extremely challenging process. This paper presents a new method for proper design of direct velocity feedback (DVF) controller in order to extend boundaries of stable cutting for internal turning with minimum control effort. Control effort and active damping performance are two counteracting parameters that affect the results of active vibration control. After properly implementing the DVF active control algorithm on the internal turning setup, stable boundaries for different control gains of DVF controller are thoroughly studied. The comparison shows that although high DVF gains may considerably improve dynamic stiffness of the tool, it leads to the maximum control effort and actuator saturation and consequently process instability. The proposed gain selection method results in a significant increase in stable machining over the desired range of cutting conditions. The suggested design approach of the DVF controller can considerably improve limitations of rough machining on long over hang boring bars.
http://scientiairanica.sharif.edu/article_20731_3ed00046a49a0e552df5e47bc9c33105.pdf
2019-10-01
2839
2853
10.24200/sci.2018.50411.1684
High-performance controller
active control of chatter
machining dynamics
internal turning
direct velocity feedback
optimized gain selection
P.
Naeemi Amini
poorianaeemi@gmail.com
1
Department of Mechanical Engineering, Ferdowsi University of Mashhad (FUM), Mashhad, P.O. Box 9177948974, Iran.
AUTHOR
B.
Moetakef-Imani
imani@um.ac.ir
2
Department of Mechanical Engineering, Ferdowsi University of Mashhad (FUM), Mashhad, P.O. Box 9177948974, Iran.
LEAD_AUTHOR
Altintas, Y., Manufacturing Automation, 2nd Edition, Cambridge University Press, New York, U.S.A, pp. 125-131 (2012). 2. Venter, G.S., Silva, L.M., Carneiro, M.B., and Silva, M.M. Passive and active strategies using embedded piezoelectric layers to improve the stability limit in turning/boring operations", International Journal of Advanced Manufacturing Technology, 89(9-12), pp. 2789-2801 (2017). 3. Munoa, J., Beudaert, X., Dombovari, Z., Altintas, Y., Budak, E., Brecher, C., and Stepan, G. Chatter suppression techniques in metal cutting", CIRP Annals - Manufacturing Technology, 65, pp. 785-808 (2016). 4. Sims, N.D. Vibration absorbers for chatter suppression: A new analytical tuning methodology", Journal of Sound & Vibration, 301, pp. 592-607 (2007). 5. Tarng, Y.S., Kao, J.Y., and Lee, E.C. Chatter suppression in turning operations with a tuned vibration absorber", Journal of Materials Processing Technology, 105, pp. 55-60 (2000). 6. Miguelez, M.H., Rubio, L., Loya, J.A., and Fernandez- Saez, J. Improvement of chatter stability in boring operations with passive vibration absorbers", International Journal of Mechanical Sciences, 52, pp. 1376- 1384 (2010). 7. Yang, Y., Munoa, J., and Altintas, Y. Optimization of multiple tuned mass dampers to suppress machine tool chatter", International Journal of Machine Tools and Manufacture, 50, pp. 834-842 (2010). 8. Liu, X., Liu, Q., Wu, S., Li, R., and Gao, H. Analysis of the vibration characteristics and adjustment method of boring bar with a variable sti_ness vibration absorber", The International Journal of Advanced Manufacturing Technology, 98, pp. 95-105 (2018). 9. Muhammad, B., Wan, M., Feng, J., and Zhang, W.H. Dynamic damping of machining vibration: a review", P. Naeemi Amini and B. Moetakef-Imani/Scientia Iranica, Transactions B: Mechanical Engineering 26 (2019) 2839{2853 2853 The International Journal of Advanced Manufacturing Technology, 89(9-12), pp. 2935-2952 (2017). 10. Tewani, S.G., Rouch, K.E., and Walcott, B.L. A study of cutting process stability of a boring bar with active dynamic absorbent", International Journal of Machine Tools and Manufacture, 35, pp. 91-108 (1995). 11. Andr_en, L. and Hakansson, L., Active Vibration Control of Boring Bar Vibration, Research Report No 2004:07, Blekinge, Sweden, pp. 5-24 (2004). 12. Matsubara, A., Maeda, M., and Yamaji, I. Vibration suppression of boring bar by piezoelectric actuators and LR circuit", CIRP Annals - Manufacturing Technology, 63(1), pp. 373-376 (2014). 13. Chen, F. Active damping of machine tools with magnetic actuators", Ph.D. Dissertation, The University of British Columbia, Vancouver, Canada (2014). 14. Pratt, J.R. and Nayfeh, A.H. Chatter control and stability analysis of a cantilever boring bar under regenerative cutting conditions", Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 359, pp. 759-792 (2001). 15. Ganguli, A., Deraemaeker, A., and Preumont, A. Regenerative chatter reduction by active damping control", Journal of Sound and Vibration, 300, pp. 847-862 (2007). 16. Munoa, J., Mancisidor, I., Loix, N., Uriarte, L.G., Barcena, R., and Zatarain, M. Chatter suppression in ram type travelling column milling machines using a biaxial inertial actuator", CIRP Annals- Manufacturing Technology, 62, pp. 407-410 (2013). 17. Chen, F., Hanifzadegan, M., Altintas, Y., and Lu, X. Active damping of boring bar vibration with a magnetic actuator", IEEE/ASME Transactions on Mechatronics, 20, pp. 2783-2794 (2015). 18. Hayati, S., Hajaliakbari, M., Rajabi, Y., and Rasaee, S. Chatter reduction in slender boring bar via a tunable holder with variable mass and sti_ness", Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 232, pp. 2098-2108 (2018). 19. Abele, E., Haydn, M., and Grosch, T. Adaptronic approach for modular long projecting boring tools", CIRP Annals - Manufacturing Technology, 65, pp. 393-396 (2016). 20. Moetakef-Imani, B. and Yusse_an, N.Z. Dynamic simulation of boring process", International Journal of Machine Tools and Manufacture, 49, pp. 1096-1103 (2009). 21. Prosperi, F. Manufacturing of high precision mechanical components", Ph.D. Dissertation, University of Udine, Italy (2014). 22. Park, G., Bement, M.T., Hartman, D.A., Smith, R.E., and Farrar, C.R. The use of active materials for machining processes: A review", International Journal of Machine Tools and Manufacture, 47, pp. 2189-2206 (2007). 23. Chen, F., Lu, X., and Altintas, Y. A novel magnetic actuator design for active damping of machining tools", International Journal of Machine Tools and Manufacture, 85, pp. 58-69 (2014). 24. Lang, G.F. and Snyder, D. Understanding the physics of electrodynamic shaker performance", Sound and vibration, 35, pp. 24-33 (2001). 25. Preumont, A., Vibration Control of Active Structures, An Introduction, 3rd Edition, Kluwer Academic Publishers, Dordrecht, Netherlands (2011). 26. Shin, C., Hong, C., and Jeong, W.B. Active vibration control of beams using _ltered-velocity feedback controllers with moment pair actuators", Journal of Sound and Vibration, 332, pp. 2910-2922 (2013). 27. Mancisidor, I., Munoa, J., Barcena, R., Beudaert, X., and Zatarain, M. Coupled model for simulating active inertial actuators in milling processes", The International Journal of Advanced Manufacturing Technology, 77, pp. 581-595 (2015). 28. Kleinwort, R., Schweizer, M., and Zaeh, M.F. Comparison of di_erent control strategies for active damping of heavy duty milling operations", Procedia CIRP, 46, pp. 396-399 (2016).
1
ORIGINAL_ARTICLE
Dynamic behavior of worn wheels in a track containing several sharp curves based on Field data measurements and simulation
Study of the wheel and rail wear phenomenon can provide the optimal use of wheel profile which results cost efficiency, dynamic stability, travel comfort, and safety to prevent the derailment especially in curves. In this paper, the experimental data is recorded in the from the field measurements worn wheels of a passenger wagon in the “Southern line” of Iran’s railway system and is combined with the dynamic simulations to study the effects of severe wheel flange wear on the dynamics of wagon. The results show that the amount of wheel wear (especially the wheel flange) directly impacts the dynamic behavior of the wagon in curves. In addition, based on the history of wear index and the peak derailment ratio, the appropriate range of the wheel flange thickness in order to repair or replace the worn wheels is suggested in the range of 25 to 27 mm.
http://scientiairanica.sharif.edu/article_20601_69bd72ef056b8ee788e9d077e3218096.pdf
2019-10-01
2854
2864
10.24200/sci.2018.50749.1849
dynamic simulation
sharp curves
field data measurement
wear index
derailment ratio
wheel flange wear
S. M.
Salehi
s_m_salehi@mehr.sharif.ir
1
School of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
AUTHOR
G. H.
Farrahi
farrahi@sharif.edu
2
School of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
LEAD_AUTHOR
S.
Sohrabpour
saeed@sharif.ir
3
School of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
AUTHOR
1. Knothe, K. and Stichel, S. Modeling of wheel/rail contact", In Rail Vehicle Dynamics, Springer, pp. 33- 79 (2017). 2. Hojer, M., Bergseth, E., Olofsson, U., Nilsson, R., and Lyu, Y. A noise related track maintenance tool for severe wear detection of wheel-rail contact", Civil- Comp Proceedings, 110, p. 146 (2016). 3. Salehi, S.M., Farrahi, G.H., and Sohrabpoor, S. A study on the contact ellipse and the contact pressure during the wheel wear through passing the tracks including several sharp curves", International Journal of Engineering, 31(5), pp. 795-803 (2018). 4. Zhai, W., Gao, J., Liu, P., and Wang, K. Reducing rail side wear on heavy-haul railway curves based on wheel-rail dynamic interaction", Vehicle System Dynamics, 52(sup1), pp. 440-454 (2014). 5. Shebani, A. and Iwnicki, S. Prediction of wheel and rail wear under di_erent contact conditions using arti_cial neural networks", Wear, 406, pp. 173-184 (2018). 6. Wei, L., Zeng, J., Wu, P., and Gao, H. Indirect method for wheel-rail force measurement and derailment evaluation", Vehicle System Dynamics, 52(12), pp. 1622-1641 (2014). 7. Meymand, S.Z., Keylin, A., and Ahmadian, M. A survey of wheel-rail contact models for rail vehicles", Vehicle System Dynamics, 54(3), pp. 386-428 (2016). 8. Lewis, R. and Olofsson, U., Wheel-Rail Interface Handbook, Elsevier (2009). S.M. Salehi et al./Scientia Iranica, Transactions B: Mechanical Engineering 26 (2019) 2854{2864 2863 9. Sheinman, E. Wear of rails. A review of the American press", Journal of Friction and Wear, 33(4), pp. 308- 314 (2012). 10. Wang, W., Guo, J., and Liu, Q. Experimental study on wear and spalling behaviors of railway wheel", Chinese Journal of Mechanical Engineering, 26(6), pp. 1243-1249 (2013). 11. Wang, W.-J., W.-J. Jiang, H.-Y. Wang, Q.-Y. Liu, M.-H. Zhu, and X.-S. Jin Experimental study on the wear and damage behavior of di_erent wheel/rail materials", Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 230(1), pp. 3-14 (2016). 12. Naeimi, M., Li, Z., and Dollevoet, R.P.B.J. Scaling strategy of a new experimental rig for wheelrail contact", International Journal of Mechanical, Aerospace, Industrial, and Mechatronics Engineering, 8(12) (2014). 13. Askarinejad, H., Dhanasekar, M., Boyd, P., and Taylor, R. Field measurement of wheel-rail impact force at insulated rail joint", Experimental Techniques, 39(5), pp. 61-69 (2015). 14. Jin, X. Experimental and numerical modal analyses of high-speed train wheelsets", Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 230(3), pp. 643-661 (2016). 15. Baharom, M. Experimental prediction of wear rate on rail and wheel materials at dry sliding contact", MATEC Web of Conferences, 13, p. 03013 (2014). 16. Daves, W., Kubin, W., Scheriau, S., and Pletz, M. A _nite element model to simulate the physical mechanisms of wear and crack initiation in wheel/rail contact", Wear, 366, pp. 78-83 (2016). 17. Tao, G., Wen, Z., Zhao, X., and Jin, X. E_ects of wheel-rail contact modelling on wheel wear simulation", Wear, 366, pp. 146-156 (2016). 18. Sharma, S.K., Sharma, R.C., Kumar, A., and Palli, S. Challenges in rail vehicle-track modeling and simulation", International Journal of Vehicle Structures & Systems, 7(1), pp. 1-9 (2015). 19. Alarc_on, G.I., Burgelman, N., Meza, J.M., Toro, A., and Li, Z. The inuence of rail lubrication on energy dissipation in the wheel/rail contact: A comparison of simulation results with _eld measurements", Wear, 330, pp. 533-539 (2015). 20. Dirks, B. Simulation and Measurement of Wheel on Rail Fatigue and Wear, KTH Royal Institute of Technology (2015). 21. Moreno-R__os, M., Gallardo-Hern_andez, E.A., Vite- Torres, M., and Pe~na-Bautista, A. Field and laboratory assessments of the friction coe_cient at a railhead", Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 230(1), pp. 313-320 (2016). 22. Zhou, Y., Wang, S., Wang, T., Xu, Y., and Li, Z. Field and laboratory investigation of the relationship between rail head check and wear in a heavy-haul railway", Wear, 315(1-2), pp. 68-77 (2014). 23. Sharma, S.K. and Kumar, A. Dynamics analysis of wheel rail contact using FEA", Procedia Engineering, 144, pp. 1119-1128 (2016). 24. Peng, D., Jones, R., Constable, T., Lingamanaik, S., and Chen, B. The tool for assessing the damage tolerance of railway wheel under service conditions", Theoretical and Applied Fracture Mechanics, 57(1), pp. 1-13 (2012). 25. Bogacz, R., Czyczul_a, W., and Konowrocki, R. E_ect of periodicity of railway track and wheel-rail interaction on wheelset-track dynamics", Archive of Applied Mechanics, 85(9-10) pp. 1321-1330 (2015). 26. Iwnicki, S., The Manchester Benchmarks for Rail Vehicle Simulation, Routledge (2017). 27. Maya-Johnson, S., Santa, J.F., and Toro, A. Dry and lubricated wear of rail steel under rolling contact fatigue-wear mechanisms and crack growth", Wear, 380, pp. 240-250 (2017). 28. Kalker, Joost J., Three-Dimensional Elastic Bodies in Rolling Contact, Springer Science & Business Media, 2 (2013). 29. Zhao, X. and Li, Z. A three-dimensional _nite element solution of frictional wheel-rail rolling contact in elasto-plasticity", Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 229(1) pp. 86-100 (2015). 30. Meymand, S.Z. State of the art roller rig for precise evaluation of wheel-rail contact mechanics and dynamics", Doctoral Dissertation, Virginia Tech University (2016). 31. Salehi, S., Farrahi, G., and Sohrabpour, S. A new technique of the '_rst and second limits' for wagon maintenance in railway tracks consisting of sharp curves based on the empirical study of wheel wear", Scientia Iranica, Transaction B, Mechanical Engineering, 24(3) p. 1171 (2017). 32. UIC UIC 510-2: Trailing stock: Wheels and wheelsets, conditions concern", International Union of Railways (2004). 33. Iwnicki, S., Handbook of Railway Vehicle Dynamics, CRC press (2006). 34. Hertz, H. On contact between elastic bodies", Reine Angew Math, 92, pp. 156-171 (1881). 35. Hertz, H. On the contact of elastic solids", Z. Reine Angew, Mathematik, 92, pp. 156-171 (1881). 36. Kalker, J.J. On the rolling contact of two elastic bodies in the presence of dry friction", TU Delft, Delft University of Technology (1967). 2864 S.M. Salehi et al./Scientia Iranica, Transactions B: Mechanical Engineering 26 (2019) 2854{2864 37. Kalker, J. Wheel-rail rolling contact theory", Wear, 144(1), pp. 243-261 (1991). 38. Iwnicki, S. Simulation of wheel-rail contact forces", Fatigue & Fracture of Engineering Materials & Structures, 26(10), pp. 887-900 (2003). 39. UIC UIC 513: Guidelines for evaluating passenger comfort in relation to vibration in railway", International Union of Railways (2005).
1
ORIGINAL_ARTICLE
Mathematical modeling of thermal contact resistance for different curvature contacting geometries using a robust approach
Nowadays having deep knowledge on thermal contact conductance (TCC) and thermal conduct resistance (TCR) existed between various type metals is interesting during heat transfer occurrence in the nuclear reactor, thermal control system of spacecraft, and heat exchangers. In this present contribution, artificial neural network (ANN) coupled with multi-layer perceptron (MLP) modeling was utilized for the prediction of transient temperature contour in various contacting surface such as flat-flat, flat-cylinder, cylinder-cylinder. In order to develop accurate transient model, position, time, and roughness parameter of metal was used as input parameter and temperature of solid bodies decided as target parameter of model. Modeling results indicates that ANN base modeling show great accuracy in comparison with other numerical methods. Also, values of average absolute relative deviation (AARD), coefficient of determination (R2) for the overall data is 0.056 and 0.996 respectively which clarifies the accuracy and robustness of the proposed model.
http://scientiairanica.sharif.edu/article_20739_02557dfed98cca8c86d380811f995d4b.pdf
2019-10-01
2865
2871
10.24200/sci.2018.50771.1856
Transient simulation
TCR
TCC
ANN modeling
surface interaction
M.H.
shojaeefard
makh136@yahoo.com
1
School of Mechanical Engineering, Iran University of Science and Technology, Tehran, P.O. Box 16765-163, Iran.
LEAD_AUTHOR
K.
Tafazzoli Aghvami
kiantafazzoliaghvamire14@gmail.com
2
School of Mechanical Engineering, Iran University of Science and Technology, Tehran, P.O. Box 16765-163, Iran.
AUTHOR
1. Kumar, S. and Tariq, A. Steady state experimental investigation of thermal contact conductance between curvilinear contacts using liquid crystal thermography", Int. J. Therm. Sci., 118, pp. 53-68 (2017). 2. Shojaeefard, M.H. and Goudarzi, K. The numerical estimation of thermal contact resistance in contacting surfaces", Am. J. Appl. Sci., 5(11), pp. 1566-1571 (2008). 3. Wang, S., Xie, T., and Xie, H. Experimental study of the e_ects of the thermal contact resistance on the performance of thermoelectric generator", Appl. Therm. Eng., 130, pp. 847-853 (2018). 4. Seok, J., Kim, D., and Kim, S. Overall thermal conductance and thermal contact resistance in noinsulation REBCO magnet", IEEE Trans. Appl. Supercond., 28(3), pp.1-5 (2018). 5. Clausing, A.M. and Chao, B. Thermal contact resistance in a vacuum environment", J. Heat Transfer, 87(2), pp. 243-250 (1965). 6. Marotta, E.E., Fletcher, L.S., and Dietz, T.A. Thermal contact resistance modeling of non-at, roughened surfaces with non-metallic coatings", J. Heat Transfer, 123(1), pp. 11-23 (2001). 7. Mikic, B. and Rohsenow, W. Thermal contact resistance", DSR 74542-41, Mech. Eng. Department, MIT (1966). 8. Thomas, T. and Sayles, R. Random process analysis of e_ects of waviness on thermal contact resistance", ASME Conf. on Thermophys. Heat Transfer, pp. 674- 691 (1975). 9. Padilha, R.S. An analytical method to estimate spatially-varying thermal contact conductance using the reciprocity functional and the integral transform methods: Theory and experimental validation", Int. J. Heat Mass Transfer, 100, pp. 599-607 (2016). 10. Shojaeefard, M.H. and Goudarzi, K. The numerical estimation of thermal contact resistance in contacting surfaces", Am. J. Appl. Sci., 5(11), pp. 1566-1571 (2008). 11. Prasher, R. Acoustic mismatch model for thermal contact conductance of van der Waals contacts under static force", Nanoscale and Microscale Thermophys. Eng., 22(1), pp. 1-5 (2018). 12. Hemmat Esfe, M., Wongwises, S., Esfandeh, S., and Alirezaei, A. Development of a new correlation and post processing of heat transfer coe_cient and pressure drop of functionalized COOH MWCNT nanouid by arti_cial neural network", Curr. Nanosci., 14(2), pp. 104-112 (2018). 13. Hemmat Esfe, M., Ahmadi Nadooshan, A., Arshi, A., and Alirezaei, A. Convective heat transfer and pressure drop of aqua based TiO2 nanouids at different diameters of nanoparticles: Data analysis and modeling with arti_cial neural network", Physica E, 97, pp. 155-161 (2018). Shojaeefard and Tafazzoli Aghvami/Scientia Iranica, Transactions B: Mechanical Engineering 26 (2019) 2865{2871 2871 14. Abdollahi, A. and Shams, M. Arti_cial neural network modeling of a deector in a grooved channel as well as optimization of its e_ective parameters", Heat Mass Transfer, 54(1), pp. 59-68 (2018). 15. Cook, G.E. Weld modeling and control using arti_cial neural networks", IEEE. Trans. Ind. Appl., 31(6), pp. 1484-1491 (1995). 16. Hojjat, M. Modeling heat transfer of non-Newtonian nanouids by using hybrid ANN-metaheuristic optimization algorithm", J. Part. Sci. Tech., 12(3), pp. 45-54 (2018). 17. Hemmat Esfe, M., Abbasian Arani, A.A., Sha_ei Badi, R., and Rejvani, M. ANN modeling, cost performance and sensitivity analyzing of thermal conductivity of DWCNT-SiO2/EG hybrid nanouid for higher heat transfer", J. Therm. Anal. Calorim., 131(3), pp. 2381- 2393 (2018). 18. Tafarroj, M.M. Arti_cial neural network modeling of nanouid ow in a microchannel heat sink using experimental data", Int. Commun. Heat Mass Transfer, 86, pp. 25-31 (2017). 19. Ghahdarijani, A.M., Hormozi, F., and Asl, A.H. Convective heat transfer and pressure drop study on nanouids in double-walled reactor by developing an optimal multilayer perceptron arti_cial neural network", Int. Commun. Heat Mass Transfer, 84, pp. 11- 19 (2017). 20. Rumelhart, D.E., McClelland, J.L., and Group, P.R. Parallel Distributed The MIT Press, Cambridge, MA (1986). The MIT Press, Cambridge, MA (1986).
1
ORIGINAL_ARTICLE
Numerical simulation of a novel Trombe wall-assisted desiccant wheel
In the present study, a novel trombe wall-assisted desiccant wheel system has been modeled, in which the trombe wall is divided into three equal parts and it provides the heat energy needed to regenerate the desiccant wheel. The components of the system, including the desiccant wheel, the trombe wall are separately modeled in MATLAB software and then assembled to investigate the surface area of the trombe wall and the output humidity of the desiccant wheel for attaining air conditioning comfort. It has been discussed that the integrated system presented here, can be utilized in all humid climate conditions around the globe. The results of the present study for some special cases have been compared with results available in open literature. The optimal surface area of the trombe wall has been extracted according to the parameters of the desiccant wheel. Results shows that the solar energy received by the trombe wall is 600-740 W/m2 (1May – 15August) in warm and humid climate of Gilan (Iran), the temperature of the wall surface is obtained 77-86 ºC, and the outlet temperature of regeneration air stream from trombe wall is obtained 60-70 ºC, the output humidity of the desiccant wheel reduces 10-12 gw/kga.
http://scientiairanica.sharif.edu/article_21246_5c257338be27ae128371b785823bfaf9.pdf
2019-10-01
2872
2883
10.24200/sci.2019.52042.2502
Desiccant
Trombe wall
Humidity
Airflow
Heat Transfer
M.
Bahramkhoo
moharam.bahramkho21@gmail.com
1
Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, P.O. Box 14515/775, Iran.
AUTHOR
K
Javaherdeh
javaherdeh_k@yahoo.com
2
Faculty of Mechanical Engineering, University of Guilan, Rasht, P. Code 4199613776, Iran.
LEAD_AUTHOR
F.
atabi
farideh.atabi23@gmail.com
3
Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, P.O. Box 14515/775, Iran
AUTHOR
A.
Emamzadeh
aboulghasem.emamzadehh@gmail.com
4
Department of Petroleum and Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, P.O. Box 14515/775, Iran.
AUTHOR
1. Ge, T., Dai, Y., and Wang, R. Review on solar powered rotary desiccant wheel cooling system", Renewable and Sustainable Energy Reviews, 39, pp. 476- 497 (2014). 2. Jani, D., Mishra, M., and Sahoo, P. Solid desiccant air conditioning-a state of the art review", Renewable and Sustainable Energy Reviews, 60, pp. 1451-1469 (2016). 3. Jani, D., Mishra, M., and Sahoo, P. A critical review on application of solar energy as renewable regeneration heat source in solid desiccant-vapor compression hybrid cooling system", Journal of Building Engineering, 18, pp. 107-124 (2018). 4. Hatami, Z., Saidi, M.H., Mohammadian, M., and Aghanaja_, C. Optimization of solar collector surface in solar desiccant wheel cycle", Energy and Buildings, 45, pp. 197-201 (2012). 5. Tsujiguchi, T., Osaka, Y., and Kodama, A. Feasibility study of simultaneous heating and dehumidi_cation using an adsorbent desiccant wheel with humidity swing", Applied Thermal Engineering, 117, pp. 437- 442 (2017). 6. Kabeel, A. and Abdelgaied, M. Solar energy assisted desiccant air conditioning system with PCM as a thermal storage medium", Renewable Energy, 122, pp. 632-642 (2018). 7. Das, R.S. and Jain, S. Experimental investigations on a solar assisted liquid desiccant cooling system with indirect contact dehumidi_er", Solar Energy, 153, pp. 289-300 (2017). 8. Nie, J., Li, Z., Hu, W., Fang, L., and Zhang, Q. Theoretical modelling and experimental study of air thermal conditioning process of a heat pump assisted solid desiccant cooling system", Energy and Buildings, 153, pp. 31-40 (2017). 9. Gadalla, M. and Sagha_far, M. Performance assessment and transient optimization of air precooling in multi-stage solid desiccant air conditioning systems", Energy Conversion and Management, 119, pp. 187-202 (2016). 10. Kumar, A. and Yadav, A. Experimental investigation of solar-powered desiccant cooling system by using composite desiccant CaCl2/jute"", Environment, Development and Sustainability, 19(4), pp. 1279-1292 (2017). 11. Ahmadzadehtalatapeh, M. Solar assisted desiccant evaporative cooling system for o_ce buildings in Iran: a yearly simulation model", Scientia Iranica, 25(1), pp. 280-298 (2018). 12. El-Agouz, S. and Kabeel, A. Performance of desiccant air conditioning system with geothermal energy under di_erent climatic conditions", Energy Conversion and Management, 88, pp. 464-475 (2014). 13. Wrobel, J., Walter, P.S., and Schmitz, G. Performance of a solar assisted air conditioning system at di_erent locations", Solar Energy, 92, pp. 69-83 (2013). 14. Sopian, K., Dezfouli, M., Mat, S., and Ruslan, M. Solar assisted desiccant air conditioning system for hot and humid areas", International Journal of Environment and Sustainability, 3(1), pp. 23-32 (2014). 15. Abbassi, Y., Baniasadi, E., and Ahmadikia, H. Comparative performance analysis of di_erent solar desiccant dehumidi_cation systems", Energy and Buildings, 150, pp. 37-51 (2017). 16. Salarian, H., Ghorbani, B., Amidpour, M., and Salehi, G. Performance study on dehumidi_er of packed bed liquid desiccant system", Scientia Iranica, 21(1), pp. 222-228 (2014). 17. Jani, D., Mishra, M., and Sahoo, P. Experimental investigation on solid desiccant-vapor compressionhybrid air-conditioning system in hot and humid 2882 M. Bahramkhoo et al./Scientia Iranica, Transactions B: Mechanical Engineering 26 (2019) 2872{2883 weather", Applied Thermal Engineering, 104, pp. 556- 564 (2016). 18. Jani, D., Mishra, M., and Sahoo, P. Performance prediction of rotary solid desiccant dehumidi_er in hybrid air-conditioning system using arti_cial neural network", Applied Thermal Engineering, 98, pp. 1091- 1103 (2016). 19. Jani, D., Mishra, M., and Sahoo, P. Performance prediction of solid desiccant-vapor compression hybrid airconditioning system using arti_cial neural network", Energy, 103, pp. 618-629 (2016). 20. Jani, D., Mishra, M., and Sahoo, P. Performance studies of hybrid solid desiccant-vapor compression air-conditioning system for hot and humid climates", Energy and Buildings, 102, pp. 284-292 (2015). 21. Stritih, U. and Medved, S. Use of phase change materials in the wall with TIM", Strojni_ski Vestnik-Journal of Mechanical Engineering, 40(3-4), p. 6 (1994). 22. Shen, J., Lassue, S., Zalewski, L., and Huang, D. Numerical study on thermal behavior of classical or composite Trombe solar walls", Energy and Buildings, 39(8), pp. 962-974 (2007). 23. Fern_andez-Gonz_alez, A. Analysis of the thermal performance and comfort conditions produced by _ve di_erent passive solar heating strategies in the United States Midwest", Solar Energy, 81(5), pp. 581-593 (2007). 24. Stazi, F., Di Perna, C., Filiaci, C., and Stazi, A. The solar wall in the Italian climates", World Academy of Science, Engineering and Technology, 37, pp. 31-39 (2008). 25. Stazi, F., Mastrucci, A., and di Perna, C. The behaviour of solar walls in residential buildings with di_erent insulation levels: an experimental and numerical study", Energy and Buildings, 47, pp. 217-229 (2012). 26. Ahmed, M., Kattab, N., and Fouad, M. Evaluation and optimization of solar desiccant wheel performance", Renewable Energy, 30(3), pp. 305-325 (2005). 27. Esfandiari Nia, F., van Paassen, D., and Saidi, M.H. Modeling and simulation of desiccant wheel for air conditioning", Energy and Buildings, 38(10), pp. 1230- 1239 (2006). 28. Mathur, J., Bansal, N., Mathur, S., and Jain, M. Experimental investigations on solar chimney for room ventilation", Solar Energy, 80(8), pp. 927-935 (2006). 29. Patankar, S., Numerical Heat Transfer and Fluid Flow, CRC press (1980). 30. Du_e, J.A. and Beckman, W.A., Solar Engineering of Thermal Processes, John Wiley & Sons (2013). 31. Holman, J., Heat transfer, McGraw-Hill Book Company, Soythern Methodist University (1986). 32. Kodama, A., Hirayama, T., Goto, M., Hirose, T., and Critoph, R. The use of psychrometric charts for the optimisation of a thermal swing desiccant wheel", Applied Thermal Engineering, 21(16), pp. 1657-1674 (2001). 33. Heidarinejad, G. and Pasdarshahri, H. The e_ects of operational conditions of the desiccant wheel on the performance of desiccant cooling cycles", Energy and Buildings, 42(12), pp. 2416-2423 (2010). 34. Bansal, N., Mathur, J., Mathur, S., and Jain, M. Modeling of window-sized solar chimneys for ventilation", Building and Environment, 40(10), pp. 1302- 1308 (2005). 35. Bansal, N.K., Mathur, R., and Bhandari, M.S. Solar chimney for enhanced stack ventilation", Building and Environment, 28(3), pp. 373-377 (1993). 36. Bansal, N., Mathur, R., and Bhandari, M. A study of solar chimney assisted wind tower system for natural ventilation in buildings", Building and Environment, 29(4), pp. 495-500 (1994).
1