摘要
本文中针对短纤维增强复合材料汽车尾门内板,提出一种包含材料-结构并行优化的轻量化设计流程。考虑纤维分层分布特点建立材料分层模型,在此基础上提出材料参数化本构模型,在改变材料参数时可快速预测其力学性能;根据纤维取向的分布特征,提出材料参数提取和映射方法,有效提升结构分析精度;考虑材料和结构设计变量,结合Kriging代理模型和基于边界搜索的改进粒子群优化算法,提出复合材料汽车尾门内板轻量化设计流程。最终结果,在保证多工况设计要求的同时,实现了材料和结构参数的并行优化,取得减质量10.5%的轻量化效果。
In this paper,a lightweight design procedure including the parallel optimization of material and structure is proposed for the inner panel of tail door made of injection-molded short-fiber-reinforced polymer composite in a car. A layered material model is built with consideration of the layered distribution feature of short fiber,on the basis of which a parameterized constitutive model for material is put forward to rapidly predict its mechanical performance when its parameters are changed. An extraction and mapping method for material parameters is proposed according to the distribution features of fiber orientation,so effectively enhancing the accuracy of structural analysis. Considering the design variables of material and structure,combined with Kriging surrogate model and boundary-searching based improved particle swarm optimization algorithm,a lightweight design procedure for composite tail door inner panel is proposed. As a final result,the parallel optimization of material and structure is fulfilled while assuring the design requirements for various working conditions with a lightweighting result of 10.5%mass reduction achieved.
作者
李泽阳
刘钊
朱平
Li Zeyang;Liu Zhao;Zhu Ping(Shanghai Jiao Tong University,State Key Laboratory of Mechanical System and Vibration,Shanghai 200240;School of Design,Shanghai Jiao Tong University,Shanghai 200240)
出处
《汽车工程》
EI
CSCD
北大核心
2022年第5期789-797,共9页
Automotive Engineering
基金
国家自然科学基金重点项目(U1864211)
国家自然科学基金面上项目(11772191)资助。
关键词
车辆
尾门内板
注塑短纤维增强复合材料
参数化本构模型
并行优化
轻量化设计
vehicles
tail-door inner panel
injection-molded short-fiber-reinforced polymer composite
parameterized constitutive model
parallel optimization
lightweight design