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Artificial Intelligence Techniques for Machining Performance: a Review

M. M., Rahman and K., Kadirgama and M. M., Noor (2010) Artificial Intelligence Techniques for Machining Performance: a Review. In: National Conference in Mechanical Engineering Research and Postgraduate Studies (2nd NCMER 2010), 3-4 December 2010 , UMP Pekan, Pahang. .

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Abstract

This paper reviews the approaches of artificial neural network (ANN) on machining performance. ANN considered as a successful approach to modelling the machining process for predicting performance measures through the development of an expert system. An expert system is an interactive intelligence program with an expert-like performance in solving a particular type of problem using knowledge base, inference engine and user interface. The approaches of ANN in past years with respect to cutting forces, surface roughness of the machined work piece, tool wear and material removal rate were reviewed. Results from literatures indicated that the ANN has the ability in generalizing the system characteristics by predicting values close to the actual measured ones.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Proceeding ISBN: 978-967-0120-04-1 Prof. Dr. Md Mustafizur Rahman (M. M. Rahman) Dr. Kumaran Kadirgama (K. Kadirgama) Muhamad Mat Noor (M. M. Noor)
Uncontrolled Keywords: Artificial neural network, cutting force, surface roughness, tool wear, material removal rate.
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 25 Aug 2011 06:46
Last Modified: 25 Jan 2018 07:12
URI: http://umpir.ump.edu.my/id/eprint/1762
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