A Hybrid Optimization Approach of Single Point Incremental Sheet Forming of AISI 316L Stainless Steel Using Grey Relation Analysis Coupled with Principal Component Analysiss

A. Visagan , P. Ganesh

Journal of Wuhan University of Technology Materials Science Edition ›› 2024, Vol. 39 ›› Issue (1) : 160 -166.

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Journal of Wuhan University of Technology Materials Science Edition ›› 2024, Vol. 39 ›› Issue (1) : 160 -166. DOI: 10.1007/s11595-024-2867-9
Metallic Materials

A Hybrid Optimization Approach of Single Point Incremental Sheet Forming of AISI 316L Stainless Steel Using Grey Relation Analysis Coupled with Principal Component Analysiss

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Abstract

We investigated the parametric optimization on incremental sheet forming of stainless steel using Grey Relational Analysis (GRA) coupled with Principal Component Analysis (PCA). AISI 316L stainless steel sheets were used to develop double wall angle pyramid with aid of tungsten carbide tool. GRA coupled with PCA was used to plan the experiment conditions. Control factors such as Tool Diameter (TD), Step Depth (SD), Bottom Wall Angle (BWA), Feed Rate (FR) and Spindle Speed (SS) on Top Wall Angle (TWA) and Top Wall Angle Surface Roughness (TWASR) have been studied. Wall angle increases with increasing tool diameter due to large contact area between tool and workpiece. As the step depth, feed rate and spindle speed increase, TWASR decreases with increasing tool diameter. As the step depth increasing, the hydrostatic stress is raised causing severe cracks in the deformed surface. Hence it was concluded that the proposed hybrid method was suitable for optimizing the factors and response.

Keywords

single point incremental forming / AISI 316L / taguchi grey relation analysis / principal component analysis / surface roughness / scanning electron microscopy

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A. Visagan, P. Ganesh. A Hybrid Optimization Approach of Single Point Incremental Sheet Forming of AISI 316L Stainless Steel Using Grey Relation Analysis Coupled with Principal Component Analysiss. Journal of Wuhan University of Technology Materials Science Edition, 2024, 39(1): 160-166 DOI:10.1007/s11595-024-2867-9

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