Tool wear estimation and life prognostics in milling: Model extension and generalization
文献类型：期刊论文
| 作者 | Zhang, Yu1,2; Zhu, Kunpeng2,3; Duan, Xianyin3; Li, Si2 |
| 刊名 | MECHANICAL SYSTEMS AND SIGNAL PROCESSING
 |
| 出版日期 | 2021-06-16 |
| 卷号 | 155 |
| 关键词 | Milling Tool wear modeling and monitoring Adjustable coefficients Generalization Genetic algorithm |
| ISSN号 | 0888-3270 |
| DOI | 10.1016/j.ymssp.2021.107617 |
| 通讯作者 | Zhu, Kunpeng(kunpengz@hotmail.com) |
| 英文摘要 | Tool wear condition is a key factor in milling which directly affects machining precision and part quality. It is essential to seek a convenient method to model and predict tool states. A generic wear model with adjustable coefficients is proposed and validated in this study. Considering the inner mechanisms of different wear stages, the entire tool life is split into three mainly wear zones by critical time, which correspond to three main types of wear: running-in wear, adhesive wear, and three-body abrasive wear. The wear model is validated based on the experimental data, compared with other celebrated wear models, and then further improved to enhance the adaptability and generalization. It is shown that the generalized wear model can discriminate tool wear ranges accurately. The determination coefficient of the wear model is more than 98% with the experimental data. Based on the proposed model, an approach for tool life prognosing and tool wear condition evaluating is proposed. The predictive real-time monitoring data of tool life and wear can be obtained timely with a genetic algorithm. (c) 2021 Elsevier Ltd. All rights reserved. |
| 资助项目 | Chinese National Key Research and Development Project[2018YFB1703200] ; Chinese Ministry of Science and Technology |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000625388600007 |
| 出版者 | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD |
| 资助机构 | Chinese National Key Research and Development Project ; Chinese Ministry of Science and Technology |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/121182]  |
| 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.Univ Sci & Technol China, Dept Automat, Hefei 230026, Peoples R China 2.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Adv Mfg Technol, Lab Precis Mfg, Changzhou 213164, Jiangsu, Peoples R China 3.Wuhan Univ Sci & Technol, Sch Machinery & Automat, Wuhan 430081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Yu,Zhu, Kunpeng,Duan, Xianyin,et al. Tool wear estimation and life prognostics in milling: Model extension and generalization[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2021,155. |
| APA | Zhang, Yu,Zhu, Kunpeng,Duan, Xianyin,&Li, Si.(2021).Tool wear estimation and life prognostics in milling: Model extension and generalization.MECHANICAL SYSTEMS AND SIGNAL PROCESSING,155. |
| MLA | Zhang, Yu,et al."Tool wear estimation and life prognostics in milling: Model extension and generalization".MECHANICAL SYSTEMS AND SIGNAL PROCESSING 155(2021). |
入库方式： OAI收割
来源：合肥物质科学研究院
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