基于子模型技术的车门多学科优化

Multidisciplinary Optimization of Door Based on Sub-model Technology

为研究影响车门性能的各因素间的相互协同关系,进行多学科优化设计。以某款车型的车门为研究对象,应用Python语言二次开发技术建立车门防撞梁位置变化的参数化模型,选取防撞梁位置、关键零件厚度和材料为设计变量。采用优化超拉丁方方法进行试验设计,并采用子模型技术提升计算速度,建立了车门模态、扭转刚度、下垂刚度、质量和侵入量的近似模型。以车门质量为目标函数,模态、刚度和侵入量为约束,进行多学科优化设计。结果表明,在车门质量减少1.2 kg的前提下,车门各项性能均满足目标要求。该方法对车门的结构设计具有一定的指导意义。

In order to study the synergistic relationship among various factors that affect the performance of vehicle doors,multidisciplinary optimization design is carried out. Based on the car door of a certain model, the secondary development technology of Python language is used to establish the parameterization of the position change of the door anti-collision beam.The position of the anti-collision beam, the thickness of the key parts and the material are selected as design variables. The experimental design is carried out by using the optimized super-Latin square method, and the sub-model technique is used to improve the calculation speed. An approximate model of the vehicle door mode, torsional stiffness, droop stiffness, mass and intrusion is established. The multidisciplinary optimization design is carried out with the door mass as the objective function and the modality, stiffness and intrusion as constraints. The results show that under the premise of the door quality is reduced by 1.2 kg, the performance of the door meets the target requirements. This method has certain guiding significance to the structural design of the car door.