Abstract
To achieve best manufacturing conditions, we have to manufacture quality products at minimum cost and minimum manufacturing lead time, and this can be done with optimization. The effective optimization of machining process parameters dramatically affects the cost and production time of machined components as well as the quality of the final products. Wire electrical discharge machining (WEDM) is a specialized thermal machining process capable of accurately machining parts of hard materials with complex shapes. Owing to its complex process, selection of optimal parameter values enhances the performance of the WEDM. The present work deals with single optimization in minimizing the surface roughness of Inconel-825 alloy, in WEDM process using teaching–learning-based optimization (TLBO) algorithm. Three input process parameters of Wire EDM (i.e. pulse on time, pulse off time and peak current) are used to study their effects on the surface roughness. The optimal solution of process parameters is obtained by using TLBO approach.
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