Tool Fracture Probability of Cutting Tools Under Different Exiting Conditions
Author:
Affiliation:
1. Kyung-Pook National University, Daegu, Korea
2. Dept. of Mechanical Engineering, Arizona State University, Tempe, Ariz.
Abstract
Publisher
ASME International
Subject
General Medicine
Link
http://asmedigitalcollection.asme.org/manufacturingscience/article-pdf/106/2/168/6505539/168_1.pdf
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Dynamic reliability sensitivity of cemented carbide cutting tool;Chinese Journal of Mechanical Engineering;2014-01
2. MD simulation of exit failure in nanometric cutting;Materials Science and Engineering: A;2001-07
3. Fuzzy controlled backpropagation neural network for tool condition monitoring in face milling;International Journal of Production Research;2000-09
4. Assessment of machining features for tool condition monitoring in face milling using an artificial neural network;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2000-07-01
5. Prediction of tool failure rate in turning hardened steels;The International Journal of Advanced Manufacturing Technology;1997-01
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