基于参数化的CAD/CAE摩擦焊机主轴箱多目标优化

Multi-objective Performance Optimization of the Spindle Box Based on Parametric CAD /CAE Finite Element Analysis

以ISIGHT多学科优化软件为平台,提出了基于参数化的CAD/CAE快速分析方法与多目标遗传算法相结合的优化方法。以顶锻力为5000KN的连续驱动摩擦焊机主轴箱小变形量和轻量化设计为例,对箱体几何参数进行了灵敏度分析,确定了主要优化参数。通过对设计空间均匀采样,建立了箱体静动态特性的二阶响应面模型。利用多目标遗传算法NSGA-II对近似模型进行循环逼近优化。仿真结果表明,优化后的箱体动态特性基本不变,质量减轻了9.5%,最大变形量和等效应力分别降低了7.8%和17%,该优化方法具有较高的鲁棒性和优化效率,优化效果明显。

Under the multidisciplinary optimization software ISIGHT environment, a optimization method of the Parametric CAD/CAE rapid analysis combination of the multi-objective genetic algorithm is proposed. In order to satisfy the performance requirement of high stiffness and light weight of the 5000KN continuous drive friction welding machine spindle box, The sensitivity analysis of the geometrical parameters of the spindle box is performed, and then the main optimization geometrical parameters are determined. The appro- priate structural finite element analysis samples in design space are selected by using the Optimal Latin hypercube design experiment method. Quadratic polynomials are employed to construct response surface model. Furthermore, these response surface models are optimized by using the approximation loop technique of NSGA-II. The result showed that the mass of the spindle box is decreased by 9.5 %, the total deformation and equivalent stress are also decreased by 7.8% and 17% under the condition of ensuring the dynamic performance, the proposed method has higher robustness and efficiency.