Afazov, S., Ceesay, L., Larkin, O. et al. (3 more authors) (2021) A methodology for precision manufacture of a nozzle using hybrid laser powder-bed fusion: a case study. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 235 (4). pp. 751-760. ISSN 0954-4054
Abstract
This paper presents a methodology for precision manufacture of a nozzle using the hybrid laser powder-bed fusion (L-PBF) technology. A new distortion predictive model for hybrid L-PBF was developed using finite element techniques. The model was validated against experimentally measured distortion using optical scanning. The validated model was utilised to mitigate distortion by applying additional stiffeners to the nozzle geometry where the distortion was reduced by 60% to acceptable tolerance of ± 200 µm. Micro-milling trials were conducted to identify optimum cutting parameters delivering high material removal rates while maintaining the average surface roughness of less than 1 µm. Finally, a nozzle with reduced distortion and desirable surface finish was manufactured, which has been used in industrial research context for process and product development of food products.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Author(s). This is an author-produced version of a paper subsequently published in Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Hybrid laser powder-bed fusion; micro-milling; surface finish; distortion prediction; nozzle manufacture |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Advanced Manufacturing Institute (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 12 Oct 2020 10:57 |
Last Modified: | 22 Apr 2021 16:32 |
Status: | Published |
Publisher: | SAGE Publications |
Refereed: | Yes |
Identification Number: | 10.1177/0954405420958856 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166582 |