Dr. Neelesh Kumar Sahu
Dr. Mohammed Ali
Dr. Atul B. Andhare
Abstract
Final products in manufacturing industry are gone through various machining operations. Achieving optimum machining responses is challenging task in industry. Due to severe competition among industry and increasing demand of quality, it becomes necessary to utilize optimization techniques. In the present study, demonstration of advanced algorithms was done to process parameter optimization for better machining responses. Utilization of Genetic Algorithm (GA) and newly developed algorithms: Teaching Learning based Optimization (TLBO) as well as “JAYA” (Sanskrit word means Victory) algorithms were done for optimization. A case study is discussed on development of objective function for machining response following actual experiments using response surface methodology (RSM). Results obtained from the optimization suggest that these advanced algorithms can be useful for machining parameters optimization.
Keywords- Teaching Learning based optimization, JAYA, Genetic Algorithms, Response Surface Methodology, and Optimization.