基于多克隆粒子群的无心磨削工艺参数优化  

Optimization of Process Parameters for Centreless Grinding Based on Poly-Clone PSO Algorithm

作　　者：申燚[1] 卜云峰[1] 

机构地区：[1]淮阴工学院机械系,江苏淮安223003

出　　处：《机床与液压》2010年第3期41-43,共3页Machine Tool & Hydraulics

基　　金：江苏省高校自然科学基金项目(05KJB460007);淮阴工学院重点自然科学基金项目(HG0406)

摘　　要：为了选择无心磨削的最佳工艺参数,建立了磨削工艺参数优化模型,并提出了一种多克隆的粒子群优化算法。将克隆复制、克隆交叉、高频变异和克隆选择引入粒子群优化算法中,从而改善基本粒子群算法容易陷入局部极小值、收敛速度慢的缺点。与其他相关算法相比,新算法在进行磨削工艺参数优化时,搜索速度更快、搜索能力更强。To select the optimal process parameters for centreless grinding, a parameter optimization model for grinding was built and a poly-clone PSO algorithm （PCPSOA） was presented. The clone copy, clone crossover, hyper-mutation and clone selection were used in the PSO optimization to overcome the shortcoming of simple PSO algorithm which easily falls into local minimal value and has slow convergence speed. Compared with the corresponding algorithms, the proposed algorithm is characterized by high convergence speed and strong optimization ability during the optimization of process parameters for eentreless grinding.

关 键 词：无心磨削 工艺参数 克隆 粒子群优化 

分 类 号：TG58[金属学及工艺—金属切削加工及机床]