摘要
综合考虑了气动阻力特性和横风稳定性,对车身外形参数进行了多目标自动优化设计。综合利用参数化建模技术、计算流体力学(CFD)仿真、试验设计方法、响应面模型和智能优化算法,集成Pro/Engineer参数化建模和ICEM网格划分工具以及Fluent仿真软件,在多学科优化平台modeFRONTIER上,搭建了一种自动优化设计流程。利用该流程,基于遗传算法(GA)对MIRA快背式模型车身几何外形进行了改型设计,得到了考虑车身气动阻力特性和横风稳定性的最优权衡设计解集。该结果使得气动阻力因数降低了5.2%,侧向力因数降低了5.8%。因而,实现了车身气动阻力和横风稳定性的多目标优化。
A multi-objective automatic optimization-design of the body shape parameters was carried out considering aerodynamic drag characteristics and cross-wind stability.An automayic optimization process was set up on an optimization platform modeFRONTIER,comprehensively using parametric modeling technology,computational fluid dynamics(CFD),design of experiment(DOE),response surface model(RSM)and intelligent optimization algorithm,integrating Pro/Engineer,ICEM,and Fluent.Using this process,an MIRA fast-back auto body geometry was modified and designed to obtain an optimal trade-off design-solution-set considering the aerodynamic drag characteristics and cross-wind stability based on the genetic algorithm(GA).The result reduces the aerodynamic drag coefficient by 5.2%and reduces the lateral force coefficient by 5.8%.Therefore,a multi-objective optimization of aerodynamic resistance and crosswind stability of the vehicle body has been achieved.
作者
亓昌
韩元吉
杨姝
吕振华
QI Chang;HAN Yuanji;YANG Shu;LU Zhenhua(State Key Laboratory of Structural Analyst for Industrial Equipment,Dalian University of Technology,Dalian 116024,China;School of Automotive Engineering,Dalian University of Technology,Dalian 116024,China;State Key Laboratory of Automotive Safety and Energy,Tsinghua University,Beijing 100084,China;Nuclear Power Institute of China,Science and Technology on Reactor System Design Technology Laboratory,Chengdu 610005,China)
出处
《汽车安全与节能学报》
CAS
CSCD
2020年第1期53-60,共8页
Journal of Automotive Safety and Energy
基金
国家自然科学基金资助项目(51475070)
汽车安全与节能国家重点实验室开放基金(KF1809)。
