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:
ABSTRACT Electron beam powder bed fusion (EB-PBF) is effective for producing complex geometrical components with minimal residual stress because of elevated powder bed temperatures; however, it faces challenges in achieving dimensional accuracy due to nonlinear shrinkage. We systematically investigated the thermal shrinkage behaviour of large-scale EB-PBF components and developed 3D nonlinear compensation strategies. A thermal-mechanical model was developed to simulate residual stress and deformation during printing and cooling, revealing that nonlinear shrinkage is linked to thermal history, stress distribution, and material properties. The proposed method improved dimensional accuracy, reducing maximum errors from 1.81 mm to 0.16 mm, meeting industrial tolerances for components sized 77 × 48 × 326 mm. Hereafter, we developed a comprehensive digital workflow encompassing topology optimisation and compensation, validated through a case study on a topology-optimised satellite component. This approach enhances manufacturing precision and significantly reduces trial-and-error iterations in product design, resulting in substantial time and cost savings.
License type:
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Funding Info:
This research / project is supported by the Agency for Science, Technology and Research - Manufacturing, Trade and Connectivity (MTC) Programmatic Grant Advanced models for Additive Manufacturing
Grant Reference no. : M22L2b0111

This research / project is supported by the Agency for Science, Technology and Research - Career Development Fund
Grant Reference no. : C210112043
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