摘要
汽车吸能盒的优化设计是汽车领域内的重要研究内容之一,由于传统优化设计方法存在诸多缺陷,难以完成对吸能盒结构的多目标优化设计。以某车型防撞梁和吸能盒为模型,通过ANSYS完成了该模型的碰撞数值仿真计算。基于计算结果构建了以吸能盒结构参数为变量,以碰撞中能量吸收量、最大加速、防撞梁侵入量和吸能盒质量为目标量的代理模型。应用非支配排序遗传算法,对吸能盒的结构参数进行了多目标优化计算,为吸能盒结构的优化设计提供了合理的理论依据。
The optimization design of automobile energy absorbing box is one of the important research issues in the field of automobile. The defects of traditional optimization method make it difficult to accomplish the multi-objective optimization. Taking a car bumper beams and energy-absorbing box as an example, numerical simulation of the collision is completed using ANSYS. Based on the results, the surrogate model was established which taking the geometry parameters of the box as the independent variables, and energy, acceleration, invasion and quality as the dependent variables. The structure of the box was optimized using multi-objective genetic algorithm. The analysis results will provide a reasonable theoretical basis for the optimization design of the energy absorbing box.
出处
《机械设计与制造》
北大核心
2016年第9期16-18,共3页
Machinery Design & Manufacture
关键词
ANSYS
吸能盒
碰撞
代理模型
遗传算法
优化设计
ANSYS
Energy Absorbing Box
Collision
Surrogate Model
Genetic Algorithm
Optimization Design
