OPTIMIZATION OF PROCESS PARAMETERS IN REPITITIVE CORRUGATION & STRAIGHTENING (RCS) OF MILD STEEL USING TAGUCHI BASED FUZZY LOGIC

Abstract- Processes of severe plastic deformation (SPD) are defined as metal forming processes in which a very large plastic strain is imposed on a bulk process in order to make an ultra-fine grained metal. The objective of the SPD processes for creating ultra-fine grained metal is to produce light weight parts by using high strength metal for the safety and reliability of micro parts and for eco friendly. Repetitive corrugation and straightening (RCS) is one of the new processes in SPD technique. In this project the strength of mild steel is going to be increased by reducing the grain size to ultrafine grain size by using RCS technique. The taguchi optimization method is used with standard orthogonal array L9. To determine which process parameters are statistically significant on tensile, flexural and hardness a fuzzy logic approach is used. Finally conformation tests were carried out to investigate optimization improvements