Intelligent adaptive control and monitoring of band sawing using a neural-fuzzy system

Author:

Asiltürk İlhan,Ünüvar Ali

Publisher

Elsevier BV

Subject

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

Reference24 articles.

1. Identification of variables to improve cutting performance of a band sawing process;Ahmad,1987

2. Bandsawing. Part 1: cutting force model influencing effects of positional errors. tool dynamics and wear;Anderson;Int. J. Mach. Tools Manuf.,2001

3. Asiltürk, İ., 2007. Adaptive control application based on artificial intelligence in the bandsawing process. Ph.D. Thesis. Selcuk University, F.B.E, Konya, Turkey.

4. In-process control of surface roughness due to tool wear using a new ultrasonic system;Coker;Int. J. Mach. Tools Manuf.,1996

5. Automation Production Systems and Computer Integrated Manufacturing;Groover,1987

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