悬架控制臂多目标拓扑优化

为了对悬架控制臂进行轻量化,并保证轻量化的悬架控制臂仍能满足动静态性能要求,采用了多目标拓扑优化的方法。首先以控制臂为柔性体在Adams/Car中建立悬架刚柔耦合模型并对该模型进行多体动力学分析,从而得到悬架控制臂在制动、转向及过凸包等极限工况时的边界条件;然后采用惯性释放的方法对悬架控制臂进行有限元静力分析及模态分析,并根据结果分析其动静态性能;再运用折衷规划法对该悬架控制臂进行多目标拓扑优化,并通过正交试验的方法确定目标函数的权重。最终得到的新控制臂模型重量比原模型降低18.1%,总体刚度及低阶频率都有提高,各极限工况应力均小于许用应力。结果表明,轻量化的悬架控制臂满足性能要求,验证了设计的合理性。

Multi-objective topology optimization of suspension control arm

To lightweight the suspension control arm and ensure it to meet the dynamic and static performance requirements, the multi-objective topology optimization method was adopted. Firstly, Adams/ Car was used to establish the rigid-flexible coupling model of suspension system and to get multi-body dynamics analysis. Therefore, the extreme boundary conditions of braking, steering and the convex hull were obtained. Then inertial release was used in finite element static and modal analysis, and dynamic and static performances analyzed according to the results. Finally, compromise programming approach was used to do multi-objective topology optimization, and at the same time, the optimization goal weight was determined by orthogonal test. Compared with the original model,the weight of the new model is reduced by 18.1%, overall stiffness and low frequency are increased, and static stresses in all condition are still met. The result indicates that the lightweighted control arm meets the performance requirements. The design of control arm is verified.