OPTIMIZATION OF 3D PROCESSING PARAMETERS USED FDM METHOD IN THE PRODUCTION OF ABS BASED SAMPLES

Author:

BİLGİN Musa1

Affiliation:

1. HACETTEPE ÜNİVERSİTESİ, HACETTEPE MESLEK YÜKSEKOKULU, MAKİNE PR.

Abstract

Manufacturing with 3D printers is a very complex process due to many input parameters. This situation makes it difficult to determine optimum production parameters. In this study; hen the production of ABS materials with the fused deposition method (FDM) in 3D printers, the effects of process parameters, which are infill density (50%, 70%, and 90%), fill pattern (linear, octagonal and honeycomb), and layer thickness (0.19mm, 0.29mm and 0.39mm) were investigated on surface roughness, tensile strength, and manufacturing times by analysis of variance (ANOVA). The most effective process parameter on the output parameters was the layer thickness. While the decreasing layer thickness had a positive effect on the surface roughness and tensile strength, it had a negative effect on the manufacturing time. In the experiments carried out according to the Taguchi L27 (33) experimental design, since three different output parameters were evaluated in the optimization process, the gray relational degree was used as the evaluation criterion in the multiple performance optimizations. The optimum processing parameter was determined as linear fill pattern, 90% infill density and 0.19 mm layer thickness.

Publisher

International Journal of 3D Printing Technologies and Digital Industry

Subject

Marketing,Economics and Econometrics,General Materials Science,General Chemical Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The effects of material type and temperature factors on the adhesive bonding strength of 3D printed multi-material plastic structures;Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications;2024-08-30

2. Investigation of The Weldability of PLA Plus Sheets with Different Infill Ratios by Friction Stir Welding;Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji;2024-03-25

3. OPTIMIZATION OF 3D PRINTING PARAMETERS TO MECHANICAL STRENGTH IMPROVEMENT OF SUSTAINABLE PRINTING MATERIAL USING RSM;International Journal of 3D Printing Technologies and Digital Industry;2023-04-29

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