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Design of Lightweight Hybrid Materials for the Cab Body-In-White of a Commercial Vehicle based on Multi-Objective Optimization

机译:基于多目标优化的商用车驾驶室机身轻质混合材料设计

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In this paper, the lightweight hybrid materials cab BIW of a commercial vehicle is investigated for material selection. In order to improve the dynamic performance and reduce total mass, the lightweight materials are employed in the BIW. Nine groups of sensitive components are selected to apply the lightweight materials. The design problem is formulated as a multi-objective nonlinear programming problem and the modified non-dominated sorting genetic algorithm (NSGA-II) is used to solve the problem. The surrogate model based on radial basis function (RBF) is adopted in the optimization. The research results show that the usage of steel-aluminum hybrid materials can reduce the total mass and increase the first torsion modal frequency of the cab BIW.
机译:本文研究了商用车辆的轻质混合材料驾驶室BIW进行材料选择。为了提高动态性能并降低总质量,在BIW中采用轻质材料。选择九组敏感元件以涂抹轻质材料。设计问题被制定为多目标非线性编程问题,并使用修改的非主导排序遗传算法(NSGA-II)来解决问题。优化采用基于径向基函数(RBF)的代理模型。研究结果表明,钢 - 铝混合材料的使用可以降低总质量并增加驾驶室BIW的第一扭转模态频率。

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