Freeman, F.S.H.B. orcid.org/0000-0002-7402-1790, Lincoln, A., Sharp, J. et al. (2 more authors) (2019) Exploiting thermal strain to achieve an in-situ magnetically graded material. Materials and Design, 161. pp. 14-21. ISSN 0261-3069
Abstract
Spatially resolved functional grading is a key differentiator for additive manufacturing, achieving a level of control that could not be realised by conventional methods. Here we use the rapid solidification and thermal strain associated with selective laser melting to create an in-situ microstructurally and magnetically graded single-composition material, exploiting the solid-state austenite-martensite phase transformation. The fine grain sizes resulting from high cooling rates suppress the thermal martensite start temperature, increasing the proportion of retained austenite. Then the thermal strain accrued during the build causes in-situ deformation-driven martensitic transformation. By controlling the thermal strain, through appropriate selection of build parameters and geometry, we have been able to control the final ratio of austenite to martensite. Fully austenitic regions are paramagnetic, while dual-phase regions show increasingly ferromagnetic behaviour with an increasing proportion of martensite. We exploit this to build a magnetically graded rotor which we run successfully in a synchronous motor.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Selective laser melting (SLM); Functionally graded material (FGM); Magnetic grading; Martensitic transformation; Deformation martensite; Thermal strain |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Materials Science and Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Nov 2018 10:20 |
Last Modified: | 13 Dec 2018 10:30 |
Published Version: | https://doi.org/10.1016/j.matdes.2018.11.011 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.matdes.2018.11.011 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:138442 |