A machine vision system for micro-milling tool condition monitoring | |
Dai, Yiquan1; Zhu, Kunpeng1,2 | |
刊名 | PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY |
2018-04-01 | |
卷号 | 52期号:无页码:183-191 |
关键词 | Tool wear Tool condition monitoring Machine vision Micro milling Digital image processing |
ISSN号 | 0141-6359 |
DOI | 10.1016/j.precisioneng.2017.12.006 |
英文摘要 | Tool condition monitoring is a key issue in micromachining for part quality control because the excessive tool wear and abnormal tool conditions will significantly decrease the size accuracy of part and shorten the tool durability as well. In view of this, a novel configuration of machine vision system for online tool condition monitoring is presented to improve the part quality and extend the micro tool life. The vision system is committed to automated on-machine vision inspection for monitoring the progressive wear. This inspection system uses a telecentric lens with light source and a camera to minimize the errors in imaging. The control system drives a three dimensional motion platform carrying the imaging device to probe and grab in-focus image at the predetermined time interval of machining. In addition to the flank wear, three new wear variables are explored to enhance the robustness in prediction of tool wear state. Effective image processing algorithms are developed to reduce downtime. The effectiveness of the prototype system and the developed algorithms for tool wear extraction are verified by cutting experiments using two-flutter micro-milling tools, and the experimental results show that this novel on-machine vision inspection system is convenient and effective to measure the amount of progressive wear and reflect the trend of tool life. |
资助项目 | National Natural Science Foundation of China[51475443] ; CAS 100 Talents Program, Chinese Academy of Sciences |
WOS关键词 | FLANK WEAR MEASUREMENT ; CUTTING OPERATIONS ; ACOUSTIC-EMISSION ; IMAGE ; SIGNALS ; PARTS |
WOS研究方向 | Engineering ; Science & Technology - Other Topics ; Instruments & Instrumentation |
语种 | 英语 |
出版者 | ELSEVIER SCIENCE INC |
WOS记录号 | WOS:000435620800017 |
内容类型 | 期刊论文 |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/37279] |
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 |
通讯作者 | Zhu, Kunpeng |
作者单位 | 1.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Adv Mfg Technol, Huihong Bldg,Changwu Middle Rd 801, Changzhou 213164, Jiangsu, Peoples R China 2.Wuhan Univ Technol, Sch Logist Engn, Heping Rd 1178, Wuhan 430063, Hubei, Peoples R China |
推荐引用方式 GB/T 7714 | Dai, Yiquan,Zhu, Kunpeng. A machine vision system for micro-milling tool condition monitoring[J]. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY,2018,52(无):183-191. |
APA | Dai, Yiquan,&Zhu, Kunpeng.(2018).A machine vision system for micro-milling tool condition monitoring.PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY,52(无),183-191. |
MLA | Dai, Yiquan,et al."A machine vision system for micro-milling tool condition monitoring".PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY 52.无(2018):183-191. |
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