基于改进粒子群算法的薄板件定位策略优化

目前薄板件定位策略优化需要进行大量的有限元分析,限制了夹具设计的效率。为了减少有限元分析次数,提出了一种基于惯性权值的粒子群改进算法,并通过对有限元软件的二次开发将该优化算法应用于夹具定位点的优化设计当中,以某车身前翼子板为实例进行了夹具定位优化设计,结果表明了方法的有效性。

Optimization of sheet components locating scheme based on improved particle swarm optimization

The current sheet components locating scheme optimization needs a great deal of finite element analysis, which limits the fixture design efficiency. To reduce finite element analysis times, this paper proposes a modified particle swarm optimization algorithm based on the inertia weight, and through the secondary development of finite element software, the improved particle swarm optimization is applied to fixture locating scheme design. Taking the front fender of some vehicle as the living example, the fixture locating scheme is optimally designed, which proves the method effective.