工程设计学报2024，Vol.31Issue(2)：188-200,13.DOI:10.3785/j.issn.1006-754X.2024.03.159
铸铝一体化车门的多目标可靠性优化设计
Multi-objective reliability optimization design for cast aluminum integrated car door
摘要
Abstract
In order to improve the lightweight level and performance of the car door,the integrated method of"material-structure-performance"is adopted to design the cast aluminum integrated car door.Based on the constructed finite element model of the cast aluminum integrated car door,with the thickness of the car door as the design variable,the radial basis function(RBF)neural network approximation model and the second-order response surface approximation model were used in combination with the non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ),multi-objective particle swarm optimization(MOPSO)algorithm and multi-island genetic algorithm(MIGA)to conduct the deterministic optimization design for the sinking stiffness condition displacement,upper torsional stiffness condition displacement,lower torsional stiffness condition displacement,first-order bending mode frequency,first-order torsional mode frequency and mass of the car door.On this basis,the 6Sigma reliability analysis and optimization for the quality level of the deterministic optimization solution were carried out considering the uncertainties of materials and manufacturing.The results showed the optimal combination of second-order response surface approximation model and MOPSO algorithm achieved the optimal lightweight of the car door,and the optimal combination of RBF neural network approximation model and MOPSO algorithm could minimize the the displacement of the car door under the sinking stiffness condition.The above two combinations achieved the design goals of lightweight and safety for the car door,respectively.The research results can provide reference for the optimization design of car parts.关键词
铸铝一体化车门/轻量化/径向基函数神经网络近似模型/二阶响应面近似模型/多目标粒子群优化算法/6Sigma可靠性Key words
cast aluminum integrated car door/lightweight/radial basis function neural network approximation model/second-order response surface approximation model/multi-objective particle swarm optimization algorithm/6Sigma reliability分类
交通工程引用本文复制引用
吴勃夫,吴姚烨,贝璟,吴宗扬,孙亮..铸铝一体化车门的多目标可靠性优化设计[J].工程设计学报,2024,31(2):188-200,13.基金项目
国家自然科学基金资助项目(51875150) （51875150）
