{"title":"A new approach for analyzing machining-induced damage in correlation with tool wear during dry drilling of CFRP/Ti stacks","authors":"Vijayathithan Mathiyazhagan, Anil Meena","doi":"10.1177/09544054241249780","DOIUrl":null,"url":null,"abstract":"The machining process of Carbon Fiber Reinforced Polymer/Titanium (CFRP/Ti) stacks presents significant challenges owing to the inherent inhomogeneity of CFRP and the low thermal conductivity of Ti. The drilled hole surface can experience machining-induced damage, such as delamination, fiber pull-out, and burr formation. The present study aimed to examine the influence of cutting parameters and coatings, as well as tool wear mechanisms, on the occurrence of machining-induced damage in CFRP/Ti stacks during dry drilling. Moreover, a new method called MATLAB-Assisted Image Processing (MAIP) is introduced to assess machining-induced damage, specifically delamination and burr formation, in the context of CFRP/Ti stack drilling. The use of advanced MATLAB-assisted image processing improves the precision of MAIP. The coefficient of repeatability is 0.001394. TiAlN-coated drills offer notable advantages, resulting in a 13% decrease in the maximum thrust force for CFRP and a 10% reduction for Ti. Furthermore, there is an 11% decrease in delamination compared to a tool that lacks a coating. The experimental findings revealed a significant correlation between machining-induced damage and the mechanisms of tool wear.","PeriodicalId":20663,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/09544054241249780","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
The machining process of Carbon Fiber Reinforced Polymer/Titanium (CFRP/Ti) stacks presents significant challenges owing to the inherent inhomogeneity of CFRP and the low thermal conductivity of Ti. The drilled hole surface can experience machining-induced damage, such as delamination, fiber pull-out, and burr formation. The present study aimed to examine the influence of cutting parameters and coatings, as well as tool wear mechanisms, on the occurrence of machining-induced damage in CFRP/Ti stacks during dry drilling. Moreover, a new method called MATLAB-Assisted Image Processing (MAIP) is introduced to assess machining-induced damage, specifically delamination and burr formation, in the context of CFRP/Ti stack drilling. The use of advanced MATLAB-assisted image processing improves the precision of MAIP. The coefficient of repeatability is 0.001394. TiAlN-coated drills offer notable advantages, resulting in a 13% decrease in the maximum thrust force for CFRP and a 10% reduction for Ti. Furthermore, there is an 11% decrease in delamination compared to a tool that lacks a coating. The experimental findings revealed a significant correlation between machining-induced damage and the mechanisms of tool wear.
期刊介绍:
Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed.
Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing.
Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.