Parameter optimization of fused deposition modeling process for 3D printed prosthetic socket using PCR-TOPSIS method

Abd. Latif, Mohd Juzaila and Alkahari, Mohd Rizal and Yob, Mohd Shukri and Lim, Gordon Tze Yih and Musa @ Othman, Masjuri and Abdul Rahman, Mohd Nazim and P. Rajaandra and Nguyen, H. Q. (2022) Parameter optimization of fused deposition modeling process for 3D printed prosthetic socket using PCR-TOPSIS method. International Journal of Nanoelectronics and Materials, 15 (SI). pp. 247-258. ISSN 1985-5761

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Abstract

Prosthetic socket plays the most important role in lower limb prosthesis. The conventional fabrication process of prosthetic socket is labor intensive and time-consuming. The application of additive manufacturing technology may greatly simplify the process. One of the main concerns on the reliability of 3D printed prosthetic socket is its structural strength due to the various 3D printing parameters that may influence the strength of 3D printed products. Furthermore, most of the previous studies focused on single parameter and the effect on socket strength. Thus, this study aimed to examine the optimization of fused deposition modeling printing parameter of 3D printed prosthetic socket in term of strength, fabrication time and weight. Three FDM printing parameters were studied which included layer height, nozzle diameter and infill percentage. The data was analyzed using Taguchi and PCR-TOPSIS methods. Based on the result, it was concluded that the most effective combination of printing parameter is 1.0 mm nozzle diameter, 0.48 mm layer height and 30% infill percentage. In addition, infill percentage shown the highest influence towards the responsive values followed by layer height and nozzle diameter.

Item Type:	Article
Uncontrolled Keywords:	Prosthetic socket, Fused deposition modelling, 3D printing, PCR-TOPSIS
Divisions:	Faculty of Mechanical Engineering
Depositing User:	mr eiisaa ahyead
Date Deposited:	24 Mar 2023 10:56
Last Modified:	24 Mar 2023 10:57
URI:	http://eprints.utem.edu.my/id/eprint/26645
Statistic Details:	View Download Statistic

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