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基于精益6滓的航空高强钢零件大尺寸面轮廓度 数控加工参数优化
引用本文:汪鹏,王婕.基于精益6滓的航空高强钢零件大尺寸面轮廓度 数控加工参数优化[J].航空发动机,2020,46(1):86-90.
作者姓名:汪鹏  王婕
作者单位:中国航空制造技术研究院,北京100024,中国航空发动机研究院,北京101300
基金项目:国防基础科研计划(JCKY2017205A001)资助
摘    要:针对某航空高强钢零件大尺寸面轮廓度数控加工合格率较低问题,利用精益6σ方法,依据DMAIC的研究路径,充分运用箱线图、等方差检验、单因子方差分析等方法和工具,分析了“人、机、料、法、环、测”6大方面的操作者、加工刀具、装夹方式、主轴转速、切削量、进给速度、切削方式7个因素,确定刀具尺寸、切削量、进给速度为关键影响因素;通过建立面轮廓度与7个影响因素之间的GLM模型,得出影响流程输出的3个关键影响因素的最佳组合,并在此基础上对工艺参数进行优化。结果表明:该零件的数控加工工艺流程改进后,减少了加工过程中的人工调试检查环节,缩短了加工调试验证时间,大尺寸面轮廓度数控加工合格率从80%提高到96%以上,取得了较好的经济效益。

关 键 词:数控加工  精益6σ  面轮廓度  工艺参数优化  高强钢零件

Optimization of NC Machining Parameters for Large-scale Surface Profile of Aviation High Strength Steel Part Based on Lean Six Sigma
Authors:WANG Peng  WANG Jie
Institution:(AVIC Manufacturing Technology Institute,Beijing 100024,China;Aero Engine Academy of China,Beijing 101300,China)
Abstract:In order to solve the problem of low qualified rate of NC machining of large-scale surface profile of an aviation high strength steel part,using the Lean Six Sigma Method,according to the research path of DMAIC,the boxplot,equal variance test,One-way ANOVA and other methods or tools were using plenarily and the operators,machining tools,clamping mode,spindle speed,cutting quantity and feed speed of "human,machine,material,method,environment,measurement"were analyzed.The tool size,cutting quantity and feed speed were the key influencing factors.The optimal combination of three key factors affecting the process output was obtained by establishing a GLM model between the surface profile and the 7 influencing factors,and the process parameters were optimized.The results show that after the improvement of the NC machining process of the part,the manual debugging and inspection links in the machining process are reduced,the verification time of machining debugging is shortened,the qualified rate of NC machining with large size profile is increased from 80%to more than 96%,and good economic benefits are obtained.
Keywords:Numerical Control(NC)machining  Lean Six Sigma  surface profile  process parameters optimization  high strength steel part
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