Optimizing fused deposition modelling parameters based on the design for additive manufacturing to enhance product sustainability
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Date
2023
Authors
Sachin Kumar Mangla
Yigit Kazancoglu
Muruvvet Deniz Sezer
Neslihan Top
Ismail Sahin
Journal Title
Journal ISSN
Volume Title
Publisher
ELSEVIER
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
Nowadays designers and engineers rely on specific manufacturing guidelines to bring quality products to market with minimum time and error. Design for Additive Manufacturing (DfAM) is one of these guides adapted to Additive Manufacturing (AM) technologies used to increase the operational performance of components mini-mise material waste and provide design flexibility. DfAM optimises three-dimensional (3D) printing parameters to maximise the potential of AM technologies. DfAM improves ecological performance and provides many ad-vantages for the transition to a circular economy by providing resource efficiency and enabling the production of parts with reduced weight without changing their mechanical strength. The aim of this study is to investigate the impact of the infill density infill pattern and layer thickness on the printing time weight Young's modulus compressive stress surface roughness tensile strength CO2 emissions and amount of material used for the samples printed using Poly-lactic acid (PLA) in the Fused Deposition Modelling (FDM) method. PLA has been chosen because it is a natural and recyclable polymer derived entirely from plant sources. In the printing process samples with different mechanical properties have been obtained by changing the infill density (25% 50% and 75%) the infill pattern (gyroid triangle and grid) and the layer thickness (100 150 and 200 mu m) parameters. The Design of Experiment (DoE) method is provided to find optimal combinations of the selected parameters. Ac-cording to the results of the study the effect of the layer thickness differs on each output. While the infill density is 75% grid and triangle structures generally give the best results among the infill patterns, infill density of 25% varies according to the infill pattern. The gyroid and triangle patterns give optimum results for less layer thickness (e.g. 100 mu m) while the grid should be preferred for higher layer thickness (e.g. 200 mu m).
Description
ORCID
Keywords
Design for additive manufacturing, Additive manufacturing, Fused deposition modelling, Design of experiment, Taguchi method, MECHANICAL-PROPERTIES, ENVIRONMENTAL-IMPACT, PARTS, PLA, OPTIMIZATION, PERFORMANCE, STRENGTH, Taguchi Method, Design of Experiment, Additive Manufacturing, Design for Additive Manufacturing, Fused Deposition Modelling
Fields of Science
0209 industrial biotechnology, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
38
Source
Computers in Industry
Volume
145
Issue
Start Page
103833
End Page
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CrossRef : 42
Scopus : 59
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Mendeley Readers : 131
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59
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Web of Science™ Citations
55
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