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

	Condition monitoring of milling tool wear based on fractal dimension of vibration signals
	Xu, Chuangwen 1,3; Chen, Hualing 2; Liu, Zhe 1; Cheng, Zhongwen 1
	2009
发表期刊	Strojniski Vestnik/Journal of Mechanical Engineering
ISSN	00392480
卷号	55 期号:1 页码:15-25
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.
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
收录类别	EI
语种	英语
出版者	Assoc. of Mechanical Eng. and Technicians of Slovenia
EI入藏号	20091612031973
EI主题词	Fractal dimension
EI分类号	603.2 Machine Tool Accessories - 604.1 Metal Cutting - 604.2 Machining Operations - 716.1 Information Theory and Signal Processing - 921 Mathematics - 951 Materials Science
来源库	Compendex
分类代码	603.2 Machine Tool Accessories - 604.1 Metal Cutting - 604.2 Machining Operations - 716.1 Information Theory and Signal Processing - 921 Mathematics - 951 Materials Science
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/112046
专题	兰州理工大学
作者单位	1.Lanzhou Polytechnic College, Lanzhou, Gansu, China; 2.School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shanxi, China; 3.Lanzhou Polytechnic College, Qilihequ,gongjiawan 1, Lanzhou, Gansu, 730050, 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.