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作 者:刘桂萍[1] 陈园[1] 雷飞[1] 卢传浩 LIU Gui-ping;CHEN Yuan;LEI Fei;LU Chuan-hao(State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082)
机构地区:[1]湖南大学汽车车身先进设计制造国家重点实验室,湖南长沙410082
出 处:《机械设计》2018年第6期17-23,共7页Journal of Machine Design
基 金:国家自然科学基金资助项目(11202073;11232004)
摘 要:针对保险杠系统设计制造质量-成本与耐撞性的要求,文中提出了一种考虑制造成形质量的保险杠系统多目标优化设计方法。该方法首先建立了以拉裂和起皱程度为制造成形质量评价准则的保险杠系统主要吸能部件的冲压成形模型,以及以吸能、受力和侵入量为耐撞性评价准则的保险杠系统正面碰撞模型。将防撞梁和吸能盒的壁厚作为连续型设计变量,材料型号的选择作为离散型设计变量,结合质量和成本要求建立了多目标优化设计函数关系。然后通过径向基函数构建代理模型,并采用微型多目标遗传算法求得Pareto最优解集,再由TOPSIS决策方法从该解集中选取最优设计方案。最后对某保险杠系统进行多目标优化设计,结果验证了该方法的有效性。To meet the requirements of design and manufacture forming quality, cost and crashworthiness of bumper system, a multi-objective optimization design method for bumper system was proposed. Firstly, the stamping numerical model of main energy absorption components of the bumper system with evaluation criteria of manufacture forming quality based on cracking and wrinkling level, and the frontal impact numerical model with evaluation criteria of crashworthiness based on energy absorption, force and amount of intrusion were established. Secondly, the multi-objective optimization problems combined with requirements of mass and cost and set wall thickness of the anti-collision beam and crash box as continuous design variables, the selection of materials as discrete design variables were described. Thirdly, radial basis functions were used to construct the surrogate models, micro multi-objective genetic algorithm was used to acquire the Pareto optimal set and the TOPSIS method was adopted to choose the optimal design from the obtained set. The effectiveness of the suggested method was validated via application in a multi-objective optimization design of a bumper system.
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