Tool Wear Prediction Based on Ball-End Milling Tool Milling Area

Jiacheng Liu, Hongjun Wang, Wenxian Yang, Zheng Wang, Yanyan Cui, Mingzhu Fu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The special geometry of ball-end milling tool is widely used in the precision machining and ultra-precision machining of complex surfaces. However, when enterprises are finishing, in order to ensure the processing quality, they often change the tool before the milling tool reaches the dull standard, increasing the production cost of the enterprise. In addition, different processing types also have different requirements for tool flank wear. Therefore, it is necessary to determine the flank wear of the ball-end milling tool during the machining process. In order to solve this problem, the cutting area in milling process is determined according to the cutting parameters and the geometric parameters of the ball-end milling tool, and the cutting force model based on the cutting area is constructed. At the same time, according to the material and geometric parameters of the tool, the wear model of the tool is constructed. The value of flank wear is determined by the calculated cutting force. Finally, using the high speed milling tool wear data set published in the PHM Society data Competition in 2010, the correctness of the wear model is verified by experiments and analysis.

Original languageEnglish
Title of host publicationProceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic
Subtitle of host publicationTEPEN2024-IWFDP
EditorsTongtong Liu, Fan Zhang, Shiqing Huang, Jingjing Wang, Fengshou Gu
PublisherSpringer, Cham
Pages95-106
Number of pages12
Volume3
Edition1st
ISBN (Electronic)9783031694837
ISBN (Print)9783031694820, 9783031694851
DOIs
Publication statusPublished - 3 Sep 2024
EventTEPEN International Workshop on Fault Diagnostic and Prognostic - Qingdao, China
Duration: 8 May 202411 May 2024

Publication series

NameMechanisms and Machine Science
PublisherSpringer Cham
Volume169 MMS
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

ConferenceTEPEN International Workshop on Fault Diagnostic and Prognostic
Abbreviated titleTEPEN2024-IWFDP
Country/TerritoryChina
CityQingdao
Period8/05/2411/05/24

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