Prediction of performance characteristics of the ECM process using GA optimized fuzzy logic controller

P. K. Jamwal, H. S. Shan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A fuzzy logic controller (FLC) has been designed to predict material removal rate and surface roughness of the components machined by the electro chemical process. To establish logical relationship between antecedent and consequent variables of the process, experiments were performed using a dual pole tool and results of these experiments were used to prepare the rule base for the FLC. Initial design of FLC was fine- tuned using genetic algorithms (GA) and results from optimized FLC were compared with experimental observations. It was found that predictions from GA optimized FLC were more close to experimental results than the simple FLC.

Original languageEnglish
Title of host publicationProceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005
Pages2016-2029
Number of pages14
Publication statusPublished - Dec 1 2005
Event2nd Indian International Conference on Artificial Intelligence, IICAI 2005 - Pune, India
Duration: Dec 20 2005Dec 22 2005

Publication series

NameProceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005

Other

Other2nd Indian International Conference on Artificial Intelligence, IICAI 2005
CountryIndia
CityPune
Period12/20/0512/22/05

ASJC Scopus subject areas

  • Artificial Intelligence

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