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首页> 外文期刊>Journal of Materials Engineering and Performance >Multi-Objective Optimization for Energy Absorption of Carbon Fiber-Reinforced Plastic/Aluminum Hybrid Circular Tube under Both Transverse and Axial Loading
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Multi-Objective Optimization for Energy Absorption of Carbon Fiber-Reinforced Plastic/Aluminum Hybrid Circular Tube under Both Transverse and Axial Loading

机译：横向和轴向载荷下碳纤维增强塑料/铝混合圆管能量吸收的多目标优化

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摘要

In order to obtain a hybrid tube with better energy absorption performance under both three-point bending and axial compression, multi-objective optimization for energy absorption of carbon fiber-reinforced plastics (CFRP)/aluminum (CFRP/AL) hybrid circular tubes was presented in this paper. Experiments and finite element model (FEM) of the hybrid circular tubes subjected to three-point bending and axial compression were performed, and the finite element models were validated. The effects of fiber filament winding angle (theta) and aluminum wall thickness (t) on energy absorption characteristic of the hybrid tube under three-point bending and axial compressive were discussed by FEM. The results show that theta and t have different effects on the specific energy absorption (SEA) of the hybrid tube under three-point bending and axial compression, respectively. A five-order polynomial response surface (PRS) and artificial neural network (ANN) were used to connect variables (theta and t) and the objective (SEA), respectively. It was found that the fitting accuracy of ANN was better. The non-dominated sorting genetic algorithm-II (NSGAII) was applied to obtain optimal results in the form of Pareto frontier solutions. The specific energy absorption of the optimized hybrid tube (theta = 24 degrees,t = 1.45 mm) verified by simulation under three-point bending and axial compression is 1.11 kN/kg and 45.59 kN/kg, respectively. The hybrid tube exhibits better specific energy absorption under both loads.
机译：为了在三点弯曲和轴向压缩下具有更好的能量吸收性能的混合管，提出了用于碳纤维增强塑料（CFRP）/铝（CFRP / AL）杂交圆形管的能量吸收的多目标优化在本文中。进行三点弯曲和轴向压缩的混合圆形管的实验和有限元模型（FEM），验证了有限元模型。 FEM通过FEM讨论了纤维丝绕组角（THETA）和铝壁厚度（T）对三点弯曲和轴向压缩的杂交管的能量吸收特性。结果表明，θ和t分别对三点弯曲和轴向压缩的杂交管的特定能量吸收（海）具有不同的影响。使用五阶多项式响应表面（PRS）和人工神经网络（ANN）分别连接变量（θ和t）和目标（海）。发现安康的合适精度更好。应用非主导的分类遗传算法-II（NSGaii）以获得帕累托前端解决方案的形式获得最佳结果。通过在三点弯曲和轴向压缩下通过模拟验证的优化混合管（THETA = 24度，T = 1.45mm）的具体能量吸收分别为1.11kN / kg和45.59kn / kg。杂交管在两个负载下表现出更好的特定能量吸收。

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