机电工程技术Issue(1)：85-87,133,4.DOI:10.3969/j.issn.1009-9492.2016.01.022
基于遗传算法的数控铣床切削参数优化
CNC Milling Machine Cutting Parameters Optimization Based on Genetic Algorithm
张楚锋 1梁祖欣1
作者信息
- 1. 广州机床厂有限公司，广东广州 511430
- 折叠
摘要
Abstract
Machine tool is the typical mechanical manufacturing process equipment and the main working machine. It produces a large amount of energy in the process of transferring roughcast into parts. With the increasingly serious problem of energy shortage, energy consumption of machine tools is becoming a hot spot of international concern.Therefore, thisthesis mainly focuses on milling parameter optimizationof CNC milling machine which has been widely applied in CNC machine tool. And proposed thecuttingparameters optimization method based on genetic algorithm.The method with CNC milling machine energy consumption and cost in order to optimize the objective function and constraint conditions determined by numerical control milling machine technical parameters. To obtainthe milling force parametersusing regression analysis method and optimize the parameter model using genetic algorithm.Experimental results show that the use of optimized cutting parameters can meet cutting requirements and achieve lower cutting energy consumption.关键词
数控铣床/遗传算法/参数优化Key words
CNC milling machine/genetic algorithm/parameters optimization分类
矿业与冶金引用本文复制引用
张楚锋,梁祖欣..基于遗传算法的数控铣床切削参数优化[J].机电工程技术,2016,(1):85-87,133,4.
