Qin, Y., Shi, P. orcid.org/0000-0001-6724-282X, Lou, S. et al. (6 more authors) (2025) Data-driven optimisation of process parameters for reducing developed surface area ratio in laser powder bed fusion. The International Journal of Advanced Manufacturing Technology, 136 (7). pp. 3821-3831. ISSN: 0268-3768
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| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s) 2025. 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://creativecomm ons.org/licenses/by/4.0/. |
| Keywords: | Process parameter optimisation; Surface quality; Surface development ratio; Laser powder bed fusion; Machine learning; Optimisation algorithm |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Analytics, Technology & Ops Department |
| Date Deposited: | 20 Nov 2025 12:00 |
| Last Modified: | 20 Nov 2025 12:00 |
| Published Version: | https://link.springer.com/article/10.1007/s00170-0... |
| Status: | Published |
| Publisher: | Springer Nature |
| Identification Number: | 10.1007/s00170-025-15038-4 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:234592 |
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