分析 CFRP/Ti 堆料干钻孔过程中与刀具磨损相关的加工诱发损伤的新方法

IF 1.9 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
Vijayathithan Mathiyazhagan, Anil Meena
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引用次数: 0

摘要

由于碳纤维增强聚合物/钛(CFRP/Ti)叠层固有的不均匀性和钛的低导热性,碳纤维增强聚合物/钛(CFRP/Ti)叠层的加工过程面临着巨大的挑战。钻孔表面可能会出现由加工引起的损坏,如分层、纤维拔出和毛刺形成。本研究旨在探讨切削参数和涂层以及刀具磨损机制对 CFRP/Ti 堆料在干钻孔过程中发生加工诱发损伤的影响。此外,本文还介绍了一种名为 MATLAB 辅助图像处理(MAIP)的新方法,用于评估 CFRP/Ti 堆叠钻孔过程中的加工诱发损伤,特别是分层和毛刺的形成。使用先进的 MATLAB 辅助图像处理技术提高了 MAIP 的精度。重复性系数为 0.001394。涂有 TiAlN 的钻头具有显著优势,使 CFRP 的最大推力降低了 13%,钛的最大推力降低了 10%。此外,与没有涂层的工具相比,分层现象减少了 11%。实验结果表明,加工引起的损坏与刀具磨损的机理之间存在显著的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new approach for analyzing machining-induced damage in correlation with tool wear during dry drilling of CFRP/Ti stacks
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.
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来源期刊
CiteScore
5.10
自引率
30.80%
发文量
167
审稿时长
5.1 months
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.
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