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

doi:10.1016/j.ymssp.2021.107617

HFCAS OpenIR

	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
	2021-06-16
发表期刊	MECHANICAL SYSTEMS AND SIGNAL PROCESSING
ISSN	0888-3270
通讯作者	Zhu, Kunpeng(kunpengz@hotmail.com)
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.
关键词	Milling Tool wear modeling and monitoring Adjustable coefficients Generalization Genetic algorithm
DOI	10.1016/j.ymssp.2021.107617
收录类别	SCI
语种	英语
资助项目	Chinese National Key Research and Development Project[2018YFB1703200] ; Chinese Ministry of Science and Technology
项目资助者	Chinese National Key Research and Development Project ; Chinese Ministry of Science and Technology
WOS研究方向	Engineering
WOS类目	Engineering, Mechanical
WOS记录号	WOS:000625388600007
出版者	ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
引用统计	被引频次：32[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/121183
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
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
通讯作者单位	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	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).