Authors : Naveen Kumar Suniya; Arvind Kumar Verma

Volume/Issue : Volume 11 - 2026, Issue 3 - March

Google Scholar : https://tinyurl.com/umrbhsfn

Scribd : https://tinyurl.com/47btxcfv

DOI : https://doi.org/10.38124/ijisrt/26mar1409

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Abstract : Fused deposition modeling is a most accepted method of additive manufacturing to fabricate complex and customized parts in layer by layer deposition of a material. Several factors affect the mechanical properties, appearance of parts and printing time of parts. Optimization of process parameters of fused deposition modeling (FDM) process is required to improve quality, cost effectiveness, and efficiency of the method to build parts. However, research on optimization of process parameters to improve quality of printed part using PC- ABS with 0.25 % graphene is limited. The main objective of this study is to identify the effect of various process parameters on dimensional accuracy, printing time, and material consumed. This study also determines the optimal setting to achieve better dimensional accuracy with less material consumption in minimum time. Taguchi’s “L27 orthogonal array” was implemented as design of experiment to collect the data. Grey Analysis was used to find the optimal setting to achieve desired outputs. Analysis of Variance (ANOVA) shows that layer thickness is most influential factor for all performance parameters. Grey relational analysis (GRA) is utilized to found optimal setting for all performance parameters as 0.2 mm layer thickness, 40 % infill density, line infill style, 240 oC printing temperature, and 80 mm/sec printing speed.

Keywords : Additive Manufacturing, Fused Deposition Modeling, FDM, Taguchi Analysis, Grey Relational Analysis

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