@inproceedings{80a60e8988a6422f8ed3cdf9c7471936,
title = "Modeling and prediction research on end mills wear in micro turn-milling process",
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.",
keywords = "End mill wear, Micro turn-milling, Regression model, Response surface method",
author = "Su, {Xiao Yang} and Zhang, {Zhi Jing} and Xin Jin and Deng, {Yong Jun}",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.423-426.741",
language = "English",
isbn = "9783037858882",
series = "Applied Mechanics and Materials",
pages = "741--745",
booktitle = "Applied Materials and Technologies for Modern Manufacturing",
note = "3rd International Conference on Applied Mechanics, Materials and Manufacturing, ICAMMM 2013 ; Conference date: 24-08-2013 Through 25-08-2013",
}