文章摘要
引用本文:郑中鹏,金鑫,江振卫,李启明,陈威,孔鑫.微小型车铣加工表面粗糙度分析及预测模型建立[J].导航与控制,2019,(5):91-98 本文二维码信息
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微小型车铣加工表面粗糙度分析及预测模型建立
Analysis and Establishment of Prediction Model for Surface Roughness of Micro Turn-milling
  
DOI:
中文关键词:  微小型零件  正交车铣  表面粗糙度  多元回归预测模型  正交实验方法
English Keywords:micro-miniature parts  orthogonal turn-milling  surface roughness  multiple regression prediction model  orthogonal experiment method
基金项目:总装预研项目(编号:41423020201);北京理工大学研究生创新项目(编号:2018CX20021)
作者单位
郑中鹏 北京理工大学微小型制造技术研究所北京 100081 
金鑫 北京理工大学微小型制造技术研究所北京 100081 
江振卫 西北工业集团有限公司西安 710043 
李启明 北京理工大学微小型制造技术研究所北京 100081 
陈威 北京理工大学微小型制造技术研究所北京 100081 
孔鑫 北京理工大学微小型制造技术研究所北京 100081 
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中文摘要:
      随着尖端科学技术和国防工业的不断发展,微小型车铣加工技术作为一种先进的切削加工方法被广泛应用在军民制造领域。为获得微小型正交车铣加工参数引起的零件表面粗糙度的变化规律,以高效车铣复合加工机床正交车铣轴类零件的表面粗糙度为研究对象,采用三水平五因素正交实验分析法和多元线性回归预测法,重点研究了车铣加工参数与表面粗糙度之间的关系、车铣加工参数与表面粗糙度预测模型数值关系。结果表明,采用相同刀具下正交车铣加工轴类零件,其工件尺寸、车削主轴转速、工件进给量、铣削主轴转速和切削深度依次从大到小影响零件表面粗糙度质量,可指导高效车铣复合加工机床的加工工艺参数优化。
English Summary:
      With the development of advanced science and technology and the defense industry, micro turn-milling technology is widely used in military and civilian manufacturing as an advanced cutting method. In order to obtain the variation rule of the surface roughness caused by the micro-miniature orthogonal turn-milling parameters, the surface roughness of the orthogonal turning-milling parts is taken as the research object, and the three-level five-factor orthogonal experiment analysis and multiple linear regression prediction method are adopted. The relationship between the turn-milling parameters and the surface roughness, the numerical relationship between the turn-milling parameters and the surface roughness prediction model are emphatically studied. The results show that the workpiece size, turning spindle speed, feed rate, milling spindle speed and cutting depth affect the surface roughness quality in turn from large to small by orthogonal turn-milling of the same tool. The experiment results guide the optimization of the processing parameters.
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