中国机械工程Issue(15)：2036-2040,5.DOI:10.3969/j.issn.1004132X.2015.15.009
基于灰色关联度分析法的微铣削毛刺研究
Research on Micro Milling Burr Based on Grey Correlation Analysis Method
摘要
Abstract
The influences of process factors on the burr generation of part machined were studied based on the grey correlation analysis method.Fault tree model of burr generation was set up.Burr generation was defined as top event and the factors influencing burr generation were defined as basic events.The sufficient and necessary basic events sets that led to top event occurrence were defined as minimal cut sets.The characteristic matrix and pattern vectors of typical faults were set up to calcuG late the generation rate of minimal cut sets and top event,importance of basic events and the correlaG tion values of minimal cut sets separately.Micro milling experiments were carried out to verify the three minimal cut sets whose correlation values were No.1 ~ No.3.The experimental results are in conformity with the grey correlation calculation ones.Therefore,the grey correlation analysis method provides an effective method to predict and control micro milling burr.关键词
灰色关联度分析法/毛刺/微铣削/毛刺预测Key words
grey correlation analysis method/burr/micro milling/burr prediction分类
机械制造引用本文复制引用
孙树峰,章钦栋,黄克,王萍萍,殷安臣..基于灰色关联度分析法的微铣削毛刺研究[J].中国机械工程,2015,(15):2036-2040,5.基金项目
国家自然科学基金资助项目(51405345) （51405345）
科技部火炬计划资助项目(2013GH710603) （2013GH710603）
浙江省科技厅重大项目(2012C14026) （2012C14026）
浙江省自然科学基金资助项目(Y1110027) （Y1110027）
浙江省教育厅重点资助项目(Z201120727) （Z201120727）
浙江省钱江人才计划资助项目(QJD1402011) （QJD1402011）
