Institutional Repository of Chinese Acad Sci, Inst Adv Mfg Technol, Hefei Inst Phys Sci, Huihong Bldg,Changwu Middle Rd 801, Changzhou 213164, Jiangsu, Peoples R China
The monitoring of micro milling tool wear conditions by wear area estimation | |
Zhu, Kunpeng1; Yu, Xiaolong1,2 | |
2017-09-01 | |
发表期刊 | MECHANICAL SYSTEMS AND SIGNAL PROCESSING |
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. |
文章类型 | Article |
关键词 | Micro Milling Tool Wear Area Estimation Morphological Component Analysis Region Growing |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1016/j.ymssp.2017.02.004 |
关键词[WOS] | MACHINE VISION ; SENSOR |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | 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 ; 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) ; 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) ; 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 ; 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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) ; 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) |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Mechanical |
WOS记录号 | WOS:000398875200006 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.hfcas.ac.cn:8080/handle/334002/33388 |
专题 | 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 |
第一作者单位 | 中科院合肥物质科学研究院先进制造技术研究所 |
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(无):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(无),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.无(2017):80-91. |
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