Multimodal defect analysis and application of virtual machining for solid-state manufactured aluminium structure

Yakubov, V., Ostergaard, H., Bhagavath, S. et al. (7 more authors) (2024) Multimodal defect analysis and application of virtual machining for solid-state manufactured aluminium structure. Progress in Additive Manufacturing. ISSN 2363-9512

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Item Type: Article
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© Crown 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Additive friction stir deposition; Solid-state additive manufacturing; Defects; Microstructure; Hardness
Dates:
  • Published: 10 December 2024
  • Published (online): 10 December 2024
  • Accepted: 28 November 2024
  • Submitted: 1 July 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > University of Sheffield Research Centres and Institutes > AMRC with Boeing (Sheffield)
The University of Sheffield > Advanced Manufacturing Institute (Sheffield) > AMRC with Boeing (Sheffield)
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Grant number
Engineering and Physical Sciences Research Council
EP/P006566/1
Engineering and Physical Sciences Research Council
EP/W003333/1
Depositing User: Symplectic Sheffield
Date Deposited: 16 Jan 2025 15:13
Last Modified: 16 Jan 2025 15:13
Status: Published online
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1007/s40964-024-00904-6
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