@article { author = {Chen, Y. -L. and Qin, J. -C. and Sun, H.-P. and Shang, T. and Zhang, X.-G. and Hu, Y.}, title = {Global optimization for cross-domain aircraft based on kriging model and particle swarm optimization algorithm}, journal = {Scientia Iranica}, volume = {28}, number = {1}, pages = {209-222}, year = {2021}, publisher = {Sharif University of Technology}, issn = {1026-3098}, eissn = {2345-3605}, doi = {10.24200/sci.2019.50814.1886}, abstract = {To improve the operational efficiency of global optimization in engineering, Kriging model was established to simplify the mathe-matical model for calculations. The architecture of the water-air amphibious aerial vehicle is especially crucial to the whole product, which impacts its performances in many different sides. a new architecture of low-submerged ducted water-air amphibious aerial vehi-cle with double rotor wings is designed on the basis of the studies home and abroad. Both of the system architecture and the dynamic model are established and both of the water-flow and airflow are analyzed with Fluent based on the 3D structure models built by Solidworks software, which mainly aims at the impact factors of body thrust force and lift force. And the CFD simulations of the layout are also accomplished based on the former analysis results as well. Compared with the results from PSO algorithm, kriging model and orthogonal test, the most suitable shape architecture is optimized. Finally, the optimized results were simulated by Fluent. The results show that the Global optimization thought based on the Kriging model and the PSO algorithm significantly improve the lift and drive performance of cross-domain aircraft and computer operational efficiency.}, keywords = {Cross-domain aircraft,Kriging model,pso algorithm,Orthogonal test,Global optimization}, url = {https://scientiairanica.sharif.edu/article_21664.html}, eprint = {https://scientiairanica.sharif.edu/article_21664_d3ee73187512e3cad091c9c9fd3b622d.pdf} }