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

被引：0
作者：
S. H. H. Zargarbashi
J. Angeles
机构：
[1] Isfahan University of Technology,Department of Mechanical Engineering
[2] McGill University,Department of Mechanical Engineering
来源：
The International Journal of Advanced Manufacturing Technology | 2015年 / 76卷
关键词：
Five-axis machining; Frequency analysis; Predictive maintenance; Rotary axis; Fast fourier transform;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：1353 / 1363
页数：10
相关论文
共 47 条
[1]  
Abbaszadeh-Mir Y(2002)Theory and simulation for the identification of the link geometric errors for a five-axis machine tool using a telescoping magnetic ball-bar. Int J Prod Res 40 4781-4797
[2]  
Mayer JRR(1999)Induction motor asymmetrical faults detection using advanced signal processing techniques IEEE Trans Energy Convers 14 147-152
[3]  
Cloutier G(1982)A simple method for testing measuring machines and machine tools part 1: Principles and applications Precis Eng 4 61-69
[4]  
Fortin C(2000)Open system architecture modular tool kit for motion and machining process control IEEE/ASME Transactions on Mechatronics 5 281-291
[5]  
Benbouzid MEH(1987)The measurement of motion errors of nc machine tools and diagnosis of their origins by using telescoping magnetic ball bar method CIRP Ann Manuf Technol 36 377-380
[6]  
Nejjari H(1997)Modeling and analysis of nonlinear guideway for double-ball bar (dbb) measurement and diagnosis Int J Mach Tools Manuf 37 687-707
[7]  
Beguenane R(2000)Neural-network-based motor rolling bearing fault diagnosis IEEE Trans Ind Electron 47 1060-1069
[8]  
Vieira M(1998)Pattern recognition of machine tool faults with a fuzzy mathematics algorithm Int J Prod Res 36 2301-2314
[9]  
Bryan JB(1994)Review by discussion of condition monitoring and fault diagnosis in machine tools Int J Mach Tools Manuf 4 527-551
[10]  
Erol NA(1997)A new technique for volumetric error assessment of cnc machine tools incorporating ball bar measurement and 3d volumetric error model Int J Mach Tools Manuf 37 1583-1596
12345