Multi Objective Optimisation of Metal Die Support Incremental Sheet Forming of SS 316L Sheets using Taguchi Grey Relational Analysis

Abstract

The Metal Die Support Incremental Sheet Forming (MDS-ISF) enhances the dimensional accuracy of produced items in many industrial applications. However, the procedure limits metal sheet formability due to the strain between the tool and mandrel. As a result, selecting the best MDS-ISF technique to improve formability is a critical problem in the manufacture of complicated components. This study aims at optimising the forming parameters of MDS-ISF by forming single-walled cones of fixed wall angle and forming height by using Taguchi Grey Relational Analysis. The forming parameters selected for experimentation are step depth, spindle speed, and feed rate at three different levels. The responses, such as average surface roughness and average thickness, were selected for multi-objective optimisation and ANOVA was also conducted to study the influence of each forming parameter on the output responses. Additionally, the wall angle, and thickness of the components were also measured. From ANOVA, step depth had the uppermost influence on the surface finish and thickness trailed by feed rate and spindle speed.

Keywords

• metal forming
• surface roughness
• thickness
• optimisation
• anova