Parametric Optimization of Two Point Incremental Forming Using GRA and TOPSIS
A. Visagan, P. Ganesh
Abstract
Different innovative forming methods have been developed in order to make custom made goods at a reasonable cost. Due to stress induced between the tool and die, the procedure facilitates the ability of metal sheets to be formed. The dimensional accuracy of formed items can be improved by selecting the best Two Point Incremental Forming (TPIF) process parameters. In this work, TPIF of SS316L sheets of 0.8 mm was performed by varying the process variables such as die angle, step of forming, rate of feed and tool rotational speed to form a double wall angle circular cone with a forming height of 40 mm. The output responses such as surface roughness and thickness of the formed components were measured. An ANOVA was performed with a confidence level of 95 % to identify the most influential process parameter on the output response. The accuracy of the proposed methods, Grey Relational Analysis (GRA) and TOPSIS, were validated by choosing the optimal process parameter combination resulted from several experimental trial runs.