Influence of infill patterns generated by CAD and FDM 3D printer on surface roughness and tensile strength properties

Lalegani Dezaki, M., Ariffin, M.K.A.M., Serjouei, A. ORCID: 0000-0002-7250-4131, Zolfagharian, A., Hatami, S. and Bodaghi, M. ORCID: 0000-0002-0707-944X, 2021. Influence of infill patterns generated by CAD and FDM 3D printer on surface roughness and tensile strength properties. Applied Sciences, 11 (16): 7272. ISSN 2076-3417

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Abstract

Fused deposition modeling (FDM) is a capable technology based on a wide range of parameters. The goal of this study is to make a comparison between infill pattern and infill density generated by computer-aided design (CAD) and FDM. Grid, triangle, zigzag, and concentric patterns with various densities following the same structure of the FDM machine were designed by CAD software (CATIA V5®). Polylactic acid (PLA) material was assigned for both procedures. Surface roughness (SR) and tensile strength analysis were conducted to examine their effects on dog-bone samples. Also, a finite element analysis (FEA) was done on CAD specimens to find out the differences between printing and simulation processes. Results illustrated that CAD specimens had a better surface texture compared to the FDM machine while tensile tests showed patterns generated by FDM were stronger in terms of strength and stiffness. In this study, samples with concentric patterns had the lowest average SR (Ra) while zigzag was the worst with the value of 6.27 µm. Also, the highest strength was obtained for concentric and grid samples in both CAD and FDM procedures. These techniques can be useful in producing highly complex sandwich structures, bone scaffolds, and various combined patterns to achieve an optimal condition.

Item Type: Journal article
Publication Title: Applied Sciences
Creators: Lalegani Dezaki, M., Ariffin, M.K.A.M., Serjouei, A., Zolfagharian, A., Hatami, S. and Bodaghi, M.
Publisher: MDPI AG
Date: 7 August 2021
Volume: 11
Number: 16
ISSN: 2076-3417
Identifiers:
NumberType
10.3390/app11167272DOI
1456923Other
Rights: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Divisions: Schools > School of Science and Technology
Record created by: Laura Ward
Date Added: 13 Aug 2021 15:43
Last Modified: 13 Aug 2021 15:43
URI: http://irep.ntu.ac.uk/id/eprint/43968

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