Tu, R., Gitman, I. and Susmel, L. orcid.org/0000-0001-7753-9176 (2023) Fuzzy set-based methodology for manufacturing parameter determination of 3D-printed polylactide components with user-specified strength, geometrical design, and cost requirements. Fatigue and Fracture of Engineering Materials and Structures, 46 (8). pp. 2754-2765. ISSN 8756-758X
Abstract
A computational data-driven fuzzy set-based methodology is proposed and applied to determine, with high accuracy, the manufacturing parameters of 3D-printed polylactide (PLA) components, ensuring user-specified failure tensile strength and design requirements (here: the notch root radius). Hence, the novel decision-making tool to estimate 3D-printing process parameters is offered, ensuring desired design characteristics and the mechanical performance. The estimated manufacturing angle and infill density have been adjusted to provide meaningful values for real applications, still resulting in accurate predictions through the validation process. Following the success of these design and strength driven estimations, an extension of the proposed methodology to the cost-saving problem has then been suggested by introducing printing period and material cost as extra inputs to the decision-making process.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. Fatigue & Fracture of Engineering Materials & Structures published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
Keywords: | 3D-printing; fuzzy inference system; failure strength; estimation accuracy; cost control |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 28 Apr 2023 14:09 |
Last Modified: | 03 Oct 2024 13:16 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1111/ffe.14029 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:198267 |