Development of Expert System for an Unconventional Machining Process
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 1
Abstract
The present paper deals with development of fuzzy logic based models for electrochemical machining (ECM) process. Performance characteristics in ECM process, such as material removal rate, radial over cut and surface roughness are depends on various machining parameters namely applied voltage, tool feed rate, electrolyte concentration and reinforcement-content. Mamdani-based fuzzy logic (FL) systems are used to model the performance characteristics in ECM process. Three types of fuzzy logic models, i.e. manually constructed FL system, genetic algorithm (GA) based tuning of knowledge base of the manually constructed FL controller and automatic design of FL system using GA, are developed. Performance of the FL system depends largely on its knowledge base and it is optimized by GA. Further, the performance of all the developed models is tested with twenty experimental test cases. The prediction accuracy of the automatic FL system is found to be better than the other models.
Authors and Affiliations
S. Rama Rao, K. Murali Krishna, K. Vijayalakshmi
Keywords
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