Fuzzy-logic based intelligent selection of machining parameters-Reference-Cited by-同舟云学术

Fuzzy-logic based intelligent selection of machining parameters

Published:1999-09 Issue:2-3 Volume:94 Page:94-111
ISSN:0924-0136
Container-title:Journal of Materials Processing Technology
language:en
Short-container-title:Journal of Materials Processing Technology

Author:

Hashmi K,El Baradie M.A,Ryan M

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modelling and Simulation,Ceramics and Composites

Reference11 articles.

1. Metcut Research Associates, Machining Data Handbook, 3rd ed., vol. 1–2, Cincinnati, 1980

2. Metex-an expert system for machining planning;Singh;Int. J. Prod. Res.,1992

3. Fuzzy sets

4. Sukvittayawong, Sawai., Identification of chip form in turning process, JSME Int. J. Series 3: Vibration, Control Engineering, Eng. Ind. 34(4) (1991) 553–560

5. Lewis, Mark, Fuzzy Logic: a new tool for the control engineer's toolbox, Power trans. Des. 36(9) (1994) 29–32

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