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Multi-objective optimisation on crashworthiness of front longitudinal beam (FLB) coupled with sheet metal stamping process

机译:前纵梁(FLB)耐撞性与钣金冲压过程的多目标优化

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Nowadays, improving the accuracy of vehicle collision simulation is of great significance to the design and manufacture safety automobiles. Many parts in automobile manufacture are obtained by stamping process. The thickness, plastic deformation and residual stress will change after stamping process which will affect the simulation precision of vehicle collision. However, traditional collision simulation does not consider the influence of these factors. In this paper, a collision simulation method of the front longitudinal beam was studied which maps the stamping results to a collision structure model. The effects of stamping on the crashworthiness of front longitudinal beam (FLB) were analyzed to improve the accuracy and effectiveness of the automobile crash finite element simulation. To further study the effects of the manufacturing parameters (e.g. the thickness of the sheet metal, friction coefficient and two draw-bead coefficients on the energy absorption and peak crushing force), a multi-objective optimisation was carried out with non-dominated sorting genetic algorithm (NSGA-II) through combining the stamping and collision process. The optimal results of the FLB show that the proposed method significantly improved the formability and crashworthiness.
机译:如今,提高车辆碰撞仿真的准确性对设计和制造安全汽车具有重要意义。汽车制造中的许多零件都是通过冲压工艺获得的。冲压后厚度,塑性变形和残余应力会发生变化,从而影响车辆碰撞的仿真精度。但是,传统的碰撞模拟没有考虑这些因素的影响。本文研究了前纵梁的碰撞仿真方法,将冲压结果映射到碰撞结构模型。分析了冲压对前纵梁(FLB)耐撞性的影响,以提高汽车碰撞有限元仿真的准确性和有效性。为了进一步研究制造参数的影响(例如,钣金的厚度,摩擦系数和两个拉延筋系数对能量吸收和峰值破碎力的影响),采用非支配排序遗传算法进行了多目标优化。算法(NSGA-II)通过结合冲压和碰撞过程来实现。 FLB的最佳结果表明,所提出的方法显着提高了可成形性和耐撞性。

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