In-situ tool wear area evaluation in micro milling with considering the influence of cutting force
文献类型:期刊论文
作者 | Li, Si2,3; Zhu, Kunpeng1,2 |
刊名 | MECHANICAL SYSTEMS AND SIGNAL PROCESSING |
出版日期 | 2021-12-01 |
卷号 | 161 |
ISSN号 | 0888-3270 |
关键词 | Micro milling Tool wear area Empirical statistical model Milling force Grey relational degree |
DOI | 10.1016/j.ymssp.2021.107971 |
通讯作者 | Zhu, Kunpeng(zhukp@iamt.ac.cn) |
英文摘要 | In order to realize the tool wear in-situ monitoring in micro milling, a novel twodimensional tool wear estimation approach is developed in this work. The novelty and strong point of the approach is that it can achieve both high estimation accuracy and computational efficiency for fast tool condition monitoring. For this purpose, an empirical statistical model including both process parameters and force features is firstly proposed for in-situ tool wear area estimation. Then the model is improved to enhance its practicability. By comparing the experimental measurements against the results predicted by the improved model and neural network model, it is shown that the improved model has better prediction effect, which illustrates that this approach can realize tool wear estimation in micro milling. Finally, the influence of each variable in improved model on tool wear is analyzed by grey relational degree. The results of this study indicate that this approach can be used to optimize cutting parameters and predict tool wear online. (c) 2021 Elsevier Ltd. All rights reserved. |
WOS关键词 | CRATER WEAR ; TEMPERATURE ; PREDICTION ; SYSTEM |
资助项目 | National Key R&D Program of China[2018YFB1703200] ; Anhui Provincial Natural Science Foundation[1808085ME119] |
WOS研究方向 | Engineering |
语种 | 英语 |
出版者 | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD |
WOS记录号 | WOS:000670074900004 |
资助机构 | National Key R&D Program of China ; Anhui Provincial Natural Science Foundation |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/123352] |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Zhu, Kunpeng |
作者单位 | 1.Wuhan Univ Sci & Technol, Hubei Key Lab Mech Transmiss & Mfg Engn, Wuhan 430081, Hubei, Peoples R China 2.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Adv Mfg Technol, Changzhou 213164, Jiangsu, Peoples R China 3.Wuhan Univ Sci & Technol, Minist Educ, Key Lab Met Equipment & Control Technol, Wuhan 430081, Hubei, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Si,Zhu, Kunpeng. In-situ tool wear area evaluation in micro milling with considering the influence of cutting force[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2021,161. |
APA | Li, Si,&Zhu, Kunpeng.(2021).In-situ tool wear area evaluation in micro milling with considering the influence of cutting force.MECHANICAL SYSTEMS AND SIGNAL PROCESSING,161. |
MLA | Li, Si,et al."In-situ tool wear area evaluation in micro milling with considering the influence of cutting force".MECHANICAL SYSTEMS AND SIGNAL PROCESSING 161(2021). |
入库方式: OAI收割
来源:合肥物质科学研究院
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