Real-time determination of cutting force coefficients without cutting geometry restriction-Reference-Cited by-同舟云学术

Real-time determination of cutting force coefficients without cutting geometry restriction

Published:2011-12 Issue:12 Volume:51 Page:871-879
ISSN:0890-6955
Container-title:International Journal of Machine Tools and Manufacture
language:en
Short-container-title:International Journal of Machine Tools and Manufacture

Author:

Tukora Balázs,Szalay Tibor

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference28 articles.

1. Solid modeling for optimizing metal removal of 3_D NC end milling;Wang;Journal of Manufacturing Systems,1998

2. A cutting simulation system for machinability evaluation using a workpiece model;Takata;Annals of the CIRP,1989

3. Classification of the feed-rate optimization techniques: a case study in minimizing CNC machining time;Sedighi;IUST International Journal of Engineering Science,2008

4. VERICUT Module: OptiPath® 〈http://www.cgtech.com/usa/optipath%C2%A9〉

5. Mastercam Delivers Needed Speed for Faster Part Production 〈http://www.mastercam.com/camzone/articles/archives/Article3.aspx〉

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