Identification of error sources in a five-axis machine tool using FFT analysis

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• 作者：S. H. H. Zargarbashi (1)
  J. Angeles (2)
  
  1. Department of Mechanical Engineering ; Isfahan University of Technology ; Isfahan ; 8415683111 ; Iran
  2. Department of Mechanical Engineering ; McGill University ; 817 Sherbrooke St. W. Montreal ; Quebec ; H3A 2K6 ; Canada
  
• 关键词：Five ; axis machining ; Frequency analysis ; Predictive maintenance ; Rotary axis ; Fast fourier transform
• 刊名：The International Journal of Advanced Manufacturing Technology
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：76
• 期：5-8
• 页码：1353-1363
• 全文大小：2,356 KB
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• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Production and Logistics
  Mechanical Engineering
  Computer-Aided Engineering and Design
  
• 出版者：Springer London
• ISSN：1433-3015

文摘

The use of five-axis machine tools is increasing because of their flexibility and high throughput. However, having more components in motion, these machines are more prone to failure than their three-axis counterparts. In this paper, using previously published tests of the double ball bar (DBB), the deviations of the rotary axis are measured and then treated to remove the eccentricity due to setup errors. Fast Fourier transform (FFT) analysis is applied to the centered readings, in order to obtain the machine frequency spectrum. From the latter, the contribution of error sources and their amplitude are obtained. This method can be used on a regular basis as a predictive maintenance (PM) tool. The novelty of this work falls in the realm of condition monitoring (CM) of rotary-axis components using a commercial instrument, with limited angular velocity and number of turns.