@inproceedings{bc0ff2f7344a44b8911861b578eccb47,
title = "Research on tool cutting monitoring system based on cutting force and workpiece surface image texture",
abstract = "Aim at the problem of tool cutting monitoring system between tool wear estimate by gradual information and judgment of tool failure by sharp signal, this study is to construct an integration measurement. It puts forward density parameter E of outline peak of machined surface image texture to estimate tool wear condition. It researches tool failure judgment with cutting force monitoring. Hence real-time monitoring of cutting process can be implemented to represent cutting-tool wear, failure and rationality of parameter selection in cutting state.",
keywords = "Cutting force, Image detection, Surface texture, TCMS",
author = "Peng Wang and Jinglei Xin and Jixiang Li and Shiwei Yin",
year = "2009",
doi = "10.4028/www.scientific.net/AMM.16-19.960",
language = "English",
isbn = "0878492992",
series = "Applied Mechanics and Materials",
pages = "960--964",
booktitle = "e-Engineering and Digital Enterprise Technology VII",
note = "7th International Conference on e-Engineering and Digital Enterprise Technology ; Conference date: 03-09-2009 Through 05-09-2009",
}