车身零件定位方案的多变量稳健设计

在新车型初始设计阶段仅有零件的A面数据或初步结构为已知的情况下，提出了一种在初始设计阶段零件装配的定位方案稳健设计方法，建立了基于刚性零件确定性定位和稳健设计理论的定位方案优化设计模型，使用遗传算法在可行定义域内求解最优定位点的位置，并提取了定位点偏差对整体装配效果的敏感度系数，实现了在优化公差的同时控制生产成本.同时，以某新车型前大灯的定位方案设计为例，验证了所提方法在初始设计阶段的有效性.

Multivariable Robust Locating Scheme Design of Body Parts

A robust locating scheme design was provided under the circumstance that only parts of A surface or initial structure are known in the initial design phase of a new vehicle model. An optimization design model of locating scheme was established based on the deterministic locating for rigid parts and robust design principles. The optimal locators are searched by using genetic algorithms in feasible region; the sensitivity coefficient which provides an indicator of how sensitive the assembly quality are to variance of locator is extracted, and finally tolerance optimization is achieved while costs are reduced. An example of locating design of a new vehicle model’s head-lamp was demonstrated, which proves that the method is effective in the initial design phase.