Optimization of Fused Deposition Modelling Acrylonitrile-co-Butadiene-co-Styrene Parameters using ANOVA and Hybrid GRA–TOPSIS

Abstract

Traditional materials used in mechanical structures should be swapped out for less expensive alternatives that are both strong and simple to produce. ABS+, or poly (acrylonitrile-co-butadiene-co-styrene), is a substitute material used in 3D printing. The quick changes in model size and forms during the prototype stage and the comparably inexpensive cost of new parts are made possible by 3D printing technology. In the market for 3D printers, there are several suppliers of plastic materials. A combined MCDM technique and analysis of variance are used in the current work to assess the FDM process's parameters. During the experiment, three process factors—Layer height, extrusion temperature, and printing speed—are considered, and their associated response parameters, ultimate tensile strength, and surface roughness are established. The multiple-criteria decision-making strategy, which incorporates hybrid GRA-TOPSIS and ANOVA, is employed since there are two responses and two objectives. The ideal parameters determined by these statistical methods were an extrusion temperature of 2600c, layer height of 0.2 mm, and printing speed of 60 mm/s. This study concludes that the optimal parameters for the investigated experimental data are convergent regardless of the two techniques used.