Effects of geometric and spindle errors on the quality of end turning surface

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• 作者：Jiang-xin Yang ; Jia-yan Guan ; Xue-feng Ye…
• 关键词：Surface quality ; Geometric errors ; Spindle errors ; Homogeneous transformation matrix (HTM) ; Principal component analysis (PCA) ; End turning surface ; 琛ㄩ潰璐ㄩ噺 ; 鍑犱綍璇樊 ; 涓昏酱璇樊 ; 榻愭鍙樻崲鐭╅樀 ; 涓绘垚鍒嗗垎鏋?/li> 杞﹀墛绔潰 ; TH12
• 刊名：Journal of Zhejiang University - Science A
• 出版年：2015
• 出版时间：May 2015
• 年：2015
• 卷：16
• 期：5
• 页码：371-386
• 全文大小：3,223 KB
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• 作者单位：Jiang-xin Yang (1)
  Jia-yan Guan (1)
  Xue-feng Ye (1)
  Bo Li (1)
  Yan-long Cao (1) (2)
  
  1. Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, Zhejiang University, Hangzhou, 310027, China
  2. The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou, 310027, China
  
• 刊物类别：Engineering
• 刊物主题：Physics
  Mechanics, Fluids and Thermodynamics
  Chinese Library of Science
  
• 出版者：Zhejiang University Press, co-published with Springer
• ISSN：1862-1775

文摘

The geometric and spindle errors inevitably affect the quality of the end turning surface. These errors cause resultant positioning errors at the tool tip, which are defined as the difference between the actual and commanded tool tip position. This paper proposes an approach for modeling and simulation of the surface generated in end turning process. The model incorporates the effects of the positioning errors between the tool tip and the part being machined. It provides the possibility to simulate the surface topography for given errors. Based on the proposed model, groups of simulation experiments are conducted to investigate the effects of geometric and spindle errors on the topography of end turning surface. To further analyze the effect of these errors on the surface roughness, a set of simulation experiments have been designed according to the Taguchi method. The simulation results show that the surface roughness of end turning surface is more sensitive to the spindle displacement error compared with other error components. At the end of this paper, a simple method to find the principal error component is proposed.