Multi-objective optimisation of tube hydroforming process on IF steel using Taguchi-based principal component analysis
by P. Venkateshwar Reddy; B. Veerabhadra Reddy; P. Janaki Ramulu
International Journal of Computer Aided Engineering and Technology (IJCAET), Vol. 14, No. 1, 2021

Abstract: Tube hydroforming is one of the eccentric metal shaping procedures, especially utilised as a part of the automotive industry. This process has accentuated much consideration inferable from its diversified applications. To emphasise, aerospace and automotive industries depend much upon this procedure. Earlier most of the researchers worked on the material characterisation and the process parametric impacts of tube hydroforming process. However, very few have attempted on the Multi-objective optimisation of the critical process parameters. In this work, commercial finite element code PAM-STAMP 2G is utilised to do the simulations in view of L27 orthogonal array. Hence a multi-objective optimisation was studied that simultaneously maximises the bulge ratio and minimises the thinning ratio by Taguchi-based principal component analysis (PCA), which is novelty of this work. The present work aims at exploring the impact of geometrical, process and material parameters on aforementioned responses using analysis of variance (ANOVA).

Online publication date: Mon, 07-Dec-2020

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