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Tool Wear Prediction in Micro-end-milling with Hard Material Tool Wear Prediction in Micro-end-milling with Hard Material

Tool Wear Prediction in Micro-end-milling with Hard Material

  • 期刊名字:上海交通大學(xué)學(xué)報(bào)(英文版)
  • 文件大?。?/li>
  • 論文作者:LI Xin,ZHAO Xue-ping,CHEN Jie,
  • 作者單位:School of Mechanical Eng.
  • 更新時(shí)間:2023-02-12
  • 下載次數(shù):
論文簡(jiǎn)介

The applications of micro-machining have increased drastically in the last ten years. However, tools with less than 1mm diameter using for micro-mills have very short and unpredictable life when they are used to cut hard metals. In this study, preliminary design of experiment (DOE) test program was conducted to investigate and identify the factors affecting tool wear at the micro-scale with hard material. Analysis of variance (ANOVA) and Taguchi method were efficient to determine appropriate cutting condition and the effect of parameters. A simple model was also developed to predict the width of slots on the workpiece along the cutting length. The obtained results can provide the basic guidelines for parameter setting of micro-end-milling with hard material.

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