Tool wear estimation and life prognostics in milling: Model extension and generalization

doi:10.1016/j.ymssp.2021.107617

	Tool wear estimation and life prognostics in milling: Model extension and generalization
	Zhang, Yu 1,2; Zhu, Kunpeng 1,3; Duan, Xianyin 3; Li, Si 1
刊名	MECHANICAL SYSTEMS AND SIGNAL PROCESSING
	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
出版者	ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
WOS记录号	WOS:000625388600007
资助机构	Chinese National Key Research and Development Project ; Chinese Ministry of Science and Technology
内容类型	期刊论文
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.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Adv Mfg Technol, Lab Precis Mfg, Changzhou 213164, Jiangsu, Peoples R China 2.Univ Sci & Technol China, Dept Automat, Hefei 230026, 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).