基于动态切削性能的数控机床加工精度识别方法研究  

Research on Identification of Machining Accuracy of CNC Machine Tools Based on Dynamic Cutting Performance

作　　者：徐文俊 陈澜 宋玉泉[3] 徐建亮[1] 林钰珍[1] 

机构地区：[1]衢州职业技术学院 [2]浙江万里扬变速器股份有限公司 [3]吉林大学超塑性与塑形研究所

出　　处：《工具技术》2016年第5期33-36,共4页Tool Engineering

基　　金：衢州市科技计划指导性项目(2015014)

摘　　要：为准确评价数控机床的精度,通过研究数控机床动态加工性能与精度变化过程间的模糊关联关系,提出数控机床切削精度特征间模糊耦合识别模型,并将数控机床加工精度与切削加工过程看作耦合系统,构造隐马尔可夫模型(HMM),围绕改进量子遗传算法(IQGA)展开分析,实现HMM隐状态估计与参数估计问题,确定各切削特性重要性顺序。构造加工性能与精度特征关联模糊判断矩阵,利用质量功能展开(QFD)对产品需求转化为机床精度的重要性,试验了该技术的可证明行性与准确性。In order to evaluate the accuracy of a computerized numerical control （ CNC ） machine tool comprehensively, the coupling relationship between the dynamic machining performance and accuracy variation process of CNC machine tools is studied. A fuzzy coupling recognition model of cutting precision of CNC machine tool is presented. The machining accuracy and the cutting process are regarded as a coupled system, and the hidden markov model（HMM） is constructed. Based on Improved Quantum Genetic Algorithm （IQGA） , the importance order of cutting characteristics is determined by the parameters estimation of the hidden markov model（HMM）. The accuracy characteristics of machine tools are identified through quality function deployment （ QFD）, based on the fuzzy associated matrix of coupling system and cutting characteristics importance vector. Experimental results show the feasibility and the accuracy of the algorithm.

关 键 词：精度 改进量子遗传算法(IQGA) 数控机床 

分 类 号：TG659[金属学及工艺—金属切削加工及机床] TH16[机械工程—机械制造及自动化]