Design of lightweight magnesium car body structure under crash and vibration constraints

Design of lightweight magnesium car body structure under crash and vibration constraints
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DOI:
10.1016/j.jma.2014.05.005
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发表时间:
2014-06-01
影响因子:
17.6
通讯作者:
Motoyama, Keiichi
Motoyama, Keiichi
中科院分区:
材料科学1区
文献类型:
--
作者:
Kiani, Morteza;Gandikota, Imtiaz;Motoyama, Keiichi

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考虑到结构性能和轻量化的车身设计是一项具有挑战性的任务,因为必须满足所有性能目标,例如车辆安全性和乘坐质量。在本文中,材料更换沿着与多学科设计优化策略,提出开发一个轻量化的车身结构,满足碰撞和振动的标准,同时最小化的重量。通过有限元模拟,全正面,偏置正面和侧面碰撞的全车模型的峰值加速度,侵入距离,和内部能量吸收的结构部件进行评估。此外,前三个基本自然频率与碰撞指标相结合,形成设计约束。22个零件的壁厚被视为设计变量。拉丁超立方抽样用于对设计空间进行抽样,而径向基函数方法用于为多个地点的选定碰撞响应以及前三个基本自然频率开发代理模型。针对碰撞和振动约束下的质量最小化问题,提出了一种基于代理的非线性优化方法。采用序列二次规划法对设计优化问题进行了求解,并通过有限元仿真验证了优化结果。与基准设计相比,采用镁合金部件的优化设计的性能显示出显著的重量减轻和更好的性能。(C)2014年,重庆大学镁合金国家工程研究中心。制作和主办:Elsevier B.V.
Car body design in view of structural performance and lightweighting is a challenging task due to all the performance targets that must be satisfied such as vehicle safety and ride quality. In this paper, material replacement along with multidisciplinary design optimization strategy is proposed to develop a lightweight car body structure that satisfies the crash and vibration criteria while minimizing weight. Through finite element simulations, full frontal, offset frontal, and side crashes of a full car model are evaluated for peak acceleration, intrusion distance, and the internal energy absorbed by the structural parts. In addition, the first three fundamental natural frequencies are combined with the crash metrics to form the design constraints. The wall thicknesses of twenty-two parts are considered as the design variables. Latin Hypercube Sampling is used to sample the design space, while Radial Basis Function methodology is used to develop surrogate models for the selected crash responses at multiple sites as well as the first three fundamental natural frequencies. A nonlinear surrogate-based optimization problem is formulated for mass minimization under crash and vibration constraints. Using Sequential Quadratic Programming, the design optimization problem is solved with the results verified by finite element simulations. The performance of the optimum design with magnesium parts shows significant weight reduction and better performance compared to the baseline design. (C) 2014, National Engineering Research Center for Magnesium Alloys of China, Chongqing University. Production and hosting by Elsevier B.V.