工业工程Issue(6)：30-35,6.DOI:10.3969/j.issn.1007-7375.2014.06.006
切削参数的两阶段优化系统
A Two-stage Optimization System for Cutting Parameters
摘要
Abstract
Based on the fine boring of the bearing holes of the auto bearing support , Taguchi experiments , grey relational analysis , the back-propagation neural network and particle swarm optimization are employed to optimize the cutting parameters .The two-stage optimization system can rapidly obtain the best cutting parameter settings to improve the quality of components and the stability of processing .The result demon-strates the feasibility and effectiveness of the proposed approach .It provides a novel approach and pathway for mechanical processing enterprises to enhance their competitiveness .关键词
切削参数/田口方法/灰色关联度/倒传递神经网络/粒子群算法Key words
cutting parameters/Taguchi method/grey relation/back-propagation neural network/parti-cle swarm optimization分类
信息技术与安全科学引用本文复制引用
刘炳辉,江小云..切削参数的两阶段优化系统[J].工业工程,2014,(6):30-35,6.基金项目
厦门理工学院对外科技合作交流专项 （）
