An Optimized Constraint Decomposition Method in Concurrent Engineering

In order to facilitate solution, a complex problem is normally decomposed into many small sub-problems during product development process. Teams are formed to resolve each sub-problem. The original problem is resolved from solutions of sub-problems. Ideally, sub-problems are not only mutually independent but also inherent parameters of original problem. Solution of original problem can be directly derived from the collection of solutions from simplified sub-problems. In practice, the degree of interdependency is indeed reduced, sub-problems are neither totally independent nor all inherent parameters of original problem. This paper discusses team coordination under this condition and design solution from each team, which not only satisfies total requirements but also is an optimal one. The suggested optimized constraint decomposition method will insure workable Pareto solution.

基于遗传算法的冷锻压力机广义肘杆机构的多目标优化

建立了冷锻压力机广义肘杆机构的向量化运动模型,并以此为基础确定了由曲柄存在条件、极位传动角条件、摆杆限位条件、滑块侧向力不换向条件、下连杆最大偏角条件、下死点直线传力条件、工艺性条件和行程限定等组成的约束方程组。提出了"产品经济性"、最大扭矩、工作区速度和最大加速度等指标相结合的优化适应度函数,使用遗传算法计算得到了杆系参数的工程最优解。与原参数相比,最优解的综合性能提升了2.94%。