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Multi-objective crashworthiness optimization of lattice structure filled thin-walled tubes

机译:填充薄壁管格结构的多目标抗撞性优化

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Thin-walled tubes have been mostly used in passive vehicle safety systems as crash energy absorber. With the use of additive manufacturing technology, it is possible to produce novel filler materials to further enhance the crashworthiness performance of thin-walled tubes. In this study, optimal designs of novel lattice structure filled square thin-walled tubes are investigated under axial impact loading by using a compromise programming based multi-objective crashworthiness optimization procedure. Types of filler lattice structures (i.e., body-centered cubic, BCC and body-centered cubic with vertical strut, BCC-Z), diameter of lattice member, number of lattice unit cells and tube thickness are considered as design parameters, and the optimum values of these design parameters are sought for minimizing the peak crash force (PCF) and maximizing the specific energy absorption (SEA) values. The validated finite element models are utilized in order to construct the sample design space and carrying out results verification; an artificial neural network is employed for predicting values of the objective functions; the weighted superposition attraction algorithm is used to generate design alternatives and searching for their optimal combination. The compromise programming approach is used to combine multi-objectives and to produce various optimal design alternatives. The optimization results showed that the proposed approach is able to provide good solutions with high accuracy and proper selection of design parameters can effectively enhance the crashworthiness performance of the lattice structure filled thin-walled tubes. The optimum results revealed that BCC hybrid designs have generally superior crashworthiness performance compared to that of their BCC-Z counterparts for the same compromise solutions. In particular, the PCF value of the optimized BCC-Z hybrid structures is up to 44% higher than that of BCC hybrid structures while these structures have similar energy absorption performances. The compromise solutions also show that the SEA of BCC and BCC-Z hybrid structures increases respectively by 29% and 51% depending on the selected weight factors for the design objectives.
机译:薄壁管主要用于被动车辆安全系统中作为碰撞能量吸收器。通过使用增材制造技术,可以生产出新颖的填充材料来进一步提高薄壁管的耐撞性能。在这项研究中,通过使用基于折衷规划的多目标耐撞性优化程序,研究了在轴向冲击载荷下新型格子结构填充方形薄壁管的优化设计。填料晶格结构的类型(即,体心立方,BCC和具有垂直支柱的体心立方,BCC-Z),晶格构件的直径,晶格单元格的数量和管厚度被认为是设计参数,并且是最佳的寻找这些设计参数的值以最小化峰值碰撞力(PCF)和最大化比能量吸收(SEA)值。利用经过验证的有限元模型来构建样本设计空间并进行结果验证;采用人工神经网络预测目标函数的值。加权叠加吸引算法用于生成设计方案并搜索其最佳组合。折衷编程方法用于组合多目标并产生各种最佳设计替代方案。优化结果表明,该方法能够提供高精度的良好解决方案,正确选择设计参数可以有效提高薄壁管格结构的耐撞性能。最佳结果表明,对于相同的折衷解决方案,BCC混合动力设计通常比其BCC-Z同类产品具有更好的耐撞性。特别是,优化的BCC-Z混合结构的PCF值比BCC混合结构的PCF值高44%,而这些结构具有相似的能量吸收性能。折衷方案还表明,BCC和BCC-Z混合结构的SEA分别增加了29%和51%,具体取决于为设计目标选择的权重因子。

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