Multi-criteria decision making approach for selecting the best friction distribution in superplastic forming of a vehicle component

Abstract

In the superplastic forming process, the die-sheet interface friction distribution affects the required forming time and thickness uniformity of the formed part. This study undertakes the numerical investigation of applying variable interfacial friction distribution in superplastic forming of AA5083 aluminum alloy into a vehicle closure component using the commercial software, ABAQUS/Implicit. The die surface is divided into seven regions and a set of finite element simulations of the hot gas-pressure forming process are performed with focus on the effects of applying different friction coefficients at those regions on the forming time and thinning factor. For selecting the trade-off optimum friction distribution, forming time and thinning factor are calculated for each friction condition to form an evaluation matrix. Finally, TOPSIS as a multi-criteria decision making method is employed to select the best compromise friction distribution.

Decision making approaches for recognizing the optimal alkalized corchorus olitorius powder based composites for sustainable applications

“…Similar to the AHP-TOPSIS technique, this system prepares a DM, as described in table 6. Next, the NM is formulated using equation (15). The weighted normalized matrix was then calculated using equation ( 16), considering the weight values of each factor obtained from the AHP process.…”

“…These methods involve considering various alternative solutions, in which the ranking of materials is determined using multiple criteria and their corresponding weightage values. Depending on the problem faced during decision-making, MCDM methods such as AHP, weighted product model, TOPSIS, TOmada de Decisao Interactive Multicriterio (TODIM), and MOORA have been used [12][13][14][15][16][17].…”