镁铝合金车轮胶栓复合连接稳健性优化设计

提出了车轮胶栓复合连接的多目标确定性与稳健性优化设计方法。首先,建立镁铝合金组装式车轮螺栓连接有限元模型,对其进行弯曲疲劳寿命仿真,对比疲劳试验结果,验证了车轮仿真模型的准确性。随后,建立结构胶弹塑性本构模型,通过试验得到其应力应变曲线和剪切强度。最后,选取胶层厚度与种类、螺栓预紧力和螺栓孔直径为设计变量,建立车轮栓胶复合连接参数化仿真模型,以车轮连接螺栓疲劳寿命、结构胶最大拉伸和最大剪切应力为优化目标,借助ISIGHT优化平台,分别采用第二代非劣排序遗传算法(NSGA-Ⅱ)和微存档遗传算法(AMGA)对车轮胶栓连接结构进行了多目标确定性和6σ稳健性优化设计。稳健性优化后车轮连接的可靠性得到进一步提升。

Robust Optimization for Hybrid(Bolted/Bonded)Connection of Magnesium-Aluminum Alloy Assembled Wheel

This paper proposes a multi-objective deterministic and robust optimization design method for hybrid bolted/bonded connection of magnesium-aluminum alloy assembled wheel.Firstly,the finite element model of the magnesium-aluminum alloy assembled wheel with bolt connection is established and the bending fatigue life simulation is conducted,and then the validity of the simulation model is verified by comparing the fatigue test results.Subsequently,the elasto-plastic constitutive model of structural adhesives is established,and the stress-strain curves and shear strengths are obtained through experiments.Finally,the thickness and type of adhesive layer,pretension force of bolt,hole diameter of bolt are selected as the design variables and the parametric simulation model is established for wheel hybrid bolted/bonded connection.The maximum tensile/shear stress of the structural adhesive and fatigue life of the connecting bolts are identified as the optimization target,the Elitist non-dominated sorting genetic algorithm(NSGA-II)and micro-archive genetic algorithm(AMGA)are respectively adopted to establish the multi-objective optimization and 6σrobust optimization design of the wheel with hybrid bolted/bonded connection on the ISIGHT optimization platform.The reliability of the wheel connection is further improved after the robust optimization.