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

作　　者：孙树峰[1] 章钦栋 黄克[1] 王萍萍[1] 殷安臣 

机构地区：[1]温州大学,温州325035

出　　处：《中国机械工程》2015年第15期2036-2040,共5页China Mechanical Engineering

基　　金：国家自然科学基金资助项目(51405345);科技部火炬计划资助项目(2013GH710603);浙江省科技厅重大项目(2012C14026);浙江省自然科学基金资助项目(Y1110027);浙江省教育厅重点资助项目(Z201120727);浙江省钱江人才计划资助项目(QJD1402011)

摘　　要：基于灰色关联度分析法研究微铣削工艺系统各因素对被加工零件毛刺产生的影响规律,通过建立毛刺产生的故障树模型,将毛刺产生定义为顶事件,影响毛刺产生的因素定义为底事件,导致顶事件发生的充分且必要的底事件集合定义为最小割集。建立了典型故障特征矩阵和待检模式向量,计算出了最小割集和顶事件的发生概率、各底事件的重要度以及各最小割集的关联度。对关联度较大的前三个最小割集进行了微铣削加工实验验证,实验结果与灰色关联度分析法的计算结果相吻合,灰色关联度分析法为微铣削毛刺的预测及控制提供了一种有效方法。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 calculate the generation rate of minimal cut sets and top event,importance of basic events and the correlation 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 

分 类 号：TH161[机械工程—机械制造及自动化]