Improving component dimensional accuracy in electron beam powder bed fusion by addressing nonlinear deformations with 3D compensation strategies

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Improving component dimensional accuracy in electron beam powder bed fusion by addressing nonlinear deformations with 3D compensation strategies
Title:
Improving component dimensional accuracy in electron beam powder bed fusion by addressing nonlinear deformations with 3D compensation strategies
Journal Title:
Virtual and Physical Prototyping
Keywords:
Publication Date:
05 December 2024
Citation:
Wang, C., Sun, C. N., Zhang, L., Feih, S., & Wang, P. (2024). Improving component dimensional accuracy in electron beam powder bed fusion by addressing nonlinear deformations with 3D compensation strategies. Virtual and Physical Prototyping, 19(1). https://doi.org/10.1080/17452759.2024.2430319
Abstract:
Electron beam powder bed fusion (EB-PBF) is effective for producing complex geometricalcomponents with minimal residual stress because of elevated powder bed temperatures;however, it faces challenges in achieving dimensional accuracy due to nonlinear shrinkage. Wesystematically investigated the thermal shrinkage behaviour of large-scale EB-PBF componentsand developed 3D nonlinear compensation strategies. A thermal-mechanical model wasdeveloped to simulate residual stress and deformation during printing and cooling, revealingthat nonlinear shrinkage is linked to thermal history, stress distribution, and material properties.The proposed method improved dimensional accuracy, reducing maximum errors from 1.81 mmto 0.16 mm, meeting industrial tolerances for components sized 77 × 48 × 326 mm. Hereafter,we developed a comprehensive digital workflow encompassing topology optimisation andcompensation, validated through a case study on a topology-optimised satellite component.This approach enhances manufacturing precision and significantly reduces trial-and-erroriterations in product design, resulting in substantial time and cost savings.
License type:
Attribution 4.0 International (CC BY 4.0)
Funding Info:
This research / project is supported by the A*STAR - Career Development Fund
Grant Reference no. : C210112043

This research / project is supported by the A*STAR - Manufacturing, Trade, and Connectivity Programmatic Fund
Grant Reference no. : M22L2b0111
Description:
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
ISSN:
1745-2759
1745-2767