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	The monitoring of micro milling tool wear conditions by wear area estimation
	Zhu, Kunpeng1; Yu, Xiaolong1,2
刊名	MECHANICAL SYSTEMS AND SIGNAL PROCESSING
	2017-09-01
卷号	93页码:80-91
关键词	Micro Milling Tool Wear Area Estimation Morphological Component Analysis Region Growing
DOI	10.1016/j.ymssp.2017.02.004
文献子类	Article
英文摘要	In micro milling, the tool wear condition is key to the geometrical and surface integrity of the product. This study proposes a novel tool wear surface area monitoring approach based on the full tool wear image, which can reflect the tool conditions better than the traditional tool wear width criteria. To meet the challenges of heavy noise, blur boundary, and mis-alignment of the captured tool wear images, this paper develops a region growing algorithm based on morphological component analysis (MCA) to solve the problems. It decomposes the original micro milling tool image into target tool images, background image and noise image. Then, the region growing algorithm is used to detect the defect and extract the wear region of the target tool image. In addition, rotation invariant features are extracted from wear region to overcome the inconsistency of wear image orientation. The experiment results show that region growing based on MCA algorithm can extract the wear region of the target tool image effectively and the extracted wear region also has good indication of tool wear conditions. It also demonstrates that the estimation of wear area can generalize the tool wear width estimation approach, and yield more accurate results than the traditional approaches. (C) 2017 Elsevier Ltd. All rights reserved.
WOS关键词	MACHINE VISION ; SENSOR
WOS研究方向	Engineering
语种	英语
WOS记录号	WOS:000398875200006
资助机构	CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; CAS100 Talents Program ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443) ; National Natural Science Foundation of China(51475443)
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/33388]
专题	合肥物质科学研究院_中科院合肥物质科学研究院先进制造技术研究所
作者单位	1.Chinese Acad Sci, Inst Adv Mfg Technol, Hefei Inst Phys Sci, Huihong Bldg,Changwu Middle Rd 801, Changzhou 213164, Jiangsu, Peoples R China 2.Univ Sci & Technol China, Dept Automat, Hefei 230026, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Kunpeng,Yu, Xiaolong. The monitoring of micro milling tool wear conditions by wear area estimation[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2017,93:80-91.
APA	Zhu, Kunpeng,&Yu, Xiaolong.(2017).The monitoring of micro milling tool wear conditions by wear area estimation.MECHANICAL SYSTEMS AND SIGNAL PROCESSING,93,80-91.
MLA	Zhu, Kunpeng,et al."The monitoring of micro milling tool wear conditions by wear area estimation".MECHANICAL SYSTEMS AND SIGNAL PROCESSING 93(2017):80-91.

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