Condition monitoring of milling tool wear based on fractal dimension of vibration signals

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	Condition monitoring of milling tool wear based on fractal dimension of vibration signals
	Xu, Chuangwen 1,3; Chen, Hualing 2; Liu, Zhe 3; Cheng, Zhongwen 3
刊名	Strojniski Vestnik/Journal of Mechanical Engineering
	2009
卷号	55 期号:1 页码:15-25
关键词	Chaos theory Condition monitoring Cutting tools Metal cutting Milling (machining) Pattern recognition Signal processing Vibration analysis Wear of materials Cutting operations Flexible automation Manufacturing industries Monitoring tools Process efficiency Production activity Tool wear Unmanned machining
ISSN号	00392480
英文摘要	The development of flexible automation in the manufacturing industry is concerned with production activities performed by unmanned machining systems. A major topic relevant to metal-cutting operations is monitoring tool wear, which affects process efficiency and product quality, and implementing automatic tool replacements. In this paper, pattern recognition is described for the milling tool wear conditions by means of chaotic theory. Factors influencing the consistency of the calculated fractal dimension based on fractal dimension of vibration signals are analyzed. Angle domain tracing method is adopted during acquisition of vibration signals to minimize the effect from spindle speed. A new method for calculating the fractal unscale range is proposed in determining fractal dimension. The experiment results show that the fractal theory is leaded into monitoring field for milling tool wear to be practicable. © 2009 Journal of Mechanical Engineering. All rights reserved.
语种	英语
出版者	Assoc. of Mechanical Eng. and Technicians of Slovenia
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/112046]
专题	兰州理工大学
作者单位	1.Lanzhou Polytechnic College, Qilihequ,gongjiawan 1, Lanzhou, Gansu, 730050, China 2.School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shanxi, China; 3.Lanzhou Polytechnic College, Lanzhou, Gansu, China;
推荐引用方式 GB/T 7714	Xu, Chuangwen,Chen, Hualing,Liu, Zhe,et al. Condition monitoring of milling tool wear based on fractal dimension of vibration signals[J]. Strojniski Vestnik/Journal of Mechanical Engineering,2009,55(1):15-25.
APA	Xu, Chuangwen,Chen, Hualing,Liu, Zhe,&Cheng, Zhongwen.(2009).Condition monitoring of milling tool wear based on fractal dimension of vibration signals.Strojniski Vestnik/Journal of Mechanical Engineering,55(1),15-25.
MLA	Xu, Chuangwen,et al."Condition monitoring of milling tool wear based on fractal dimension of vibration signals".Strojniski Vestnik/Journal of Mechanical Engineering 55.1(2009):15-25.