TY - JOUR ID - 22272 TI - Prediction of an optimum engine response based on different input parameters on common rail direct injection diesel engine: A response surface methodology approach JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Kumar, M. AU - Ansari, N. A. AU - Sharma, A. AU - Singh, V. K. AU - Gautam, R. AU - Singh, Y. AD - Department of Mechanical Engineering, Delhi Technological University, Delhi, India AD - Department of Mechanical Engineering, G L Bajaj Institute of Technology and Management, Greater Noida, UP, India AD - Department of Mechanical Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India Y1 - 2021 PY - 2021 VL - 28 IS - 6 SP - 3181 EP - 3200 KW - Linseed KW - Biodiesel KW - Blend KW - performance KW - Emission KW - CRDI KW - RSM DO - 10.24200/sci.2021.56745.4885 N2 - As the pollution standards have been raised, the reduction of harmful pollutants is of considerable significance to the transportation industries. The primary aim of this study is to use the response surface methodology (RSM) to optimize pollutants and efficiency to achieve the optimum configuration parameters for the engine. The findings reveal that the RSM technique is a highly desirable optimization approach that can save a lot of repetitive testing. The optimization of variables was conducted using RSM's desirability method such that the performance of the engine gets maximized along with CO2 while reducing the emission factor to a minimum range such as hydrocarbon (HC). After RSM modelling it was observed that the optimized engine settings of input factors are diesel/linseed blend ratio 8.10%, FIP 600 bar, EGR 4.667%, and load on engine 9.33kg. On these constant hold values, the optimized output torque, BTE, BMEP, mechanical efficiency, HC, and CO2 have obtained 20.04 Nm, 26.035%, 3.474 bar, 52.503%, 28.14ppmv, and 7.319 %vol. respectively. Aforesaid predicted values were validated experimentally and errors in predicted values are in a limited range. To achieve improved results, the arrangement of other biodiesel blends from different sources can be carried out for future work. UR - https://scientiairanica.sharif.edu/article_22272.html L1 - https://scientiairanica.sharif.edu/article_22272_f3ae1a2719e5e0b108fb49e7fe28b0cf.pdf ER -