Modeling and prediction research on end mills wear in micro turn-milling process

Xiao Yang Su, Zhi Jing Zhang, Xin Jin, Yong Jun Deng

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

Abstract

An end mills wear experiment was designed to model and predict the end mills wear in micro turn-milling process. Based on the on-line visual measurement system, the tool wear was measured, then micro turn-milling tool wear regression models were established according to Response surface Method (RSM). The relationship between cutting parameters and tool wear was discussed in detail. The results indicate that the regression model can predict the value and regularity of end mills wear accurately, which can provide guidance on improving machining precision and quality in micro turn-milling process.

Original languageEnglish
Title of host publicationApplied Materials and Technologies for Modern Manufacturing
Pages741-745
Number of pages5
DOIs
Publication statusPublished - 2013
Event3rd International Conference on Applied Mechanics, Materials and Manufacturing, ICAMMM 2013 - Dalian, China
Duration: 24 Aug 201325 Aug 2013

Publication series

NameApplied Mechanics and Materials
Volume423-426
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference3rd International Conference on Applied Mechanics, Materials and Manufacturing, ICAMMM 2013
Country/TerritoryChina
CityDalian
Period24/08/1325/08/13

Keywords

  • End mill wear
  • Micro turn-milling
  • Regression model
  • Response surface method

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