Gitman, I.M. orcid.org/0000-0002-7369-6905, Klyuev, A.V., Gitman, M.B. et al. (1 more author) (2018) Multi-scale approach for strength properties estimation in functional materials. ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift fur Angewandte Mathematik und Mechanik, 98 (6). pp. 945-953. ISSN 0044-2267
Abstract
A new methodology to obtain metallic functional materials with predefined sets of strength properties has been developed. It has been shown that in order to accurately estimate set of material properties at the macro-level, information from the micro-level needs to be taken into account. As a result a two-level estimation model, based on the theory of fuzzy sets, has been proposed. To demonstrate the developed methodology, a reinforcing steel has been analysed. Using microstructural information, derived from an available set of experimentally obtained digital images of material microsections under different heat treatment conditions, macroscopic strength properties of reinforcing steel have been determined.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim. This is an author-produced version of a paper subsequently published in ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift fur Angewandte Mathematik und Mechanik. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | functional materials; fuzzy sets; microstructure parameters; strength properties |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Funding Information: | Funder Grant number European Commission H2020-MSCA-RISE-2016 734485 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 12 Feb 2018 13:01 |
Last Modified: | 14 May 2021 17:28 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/zamm.201700265 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:127331 |