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Recent advances in hard-magnetic soft composites: Synthesis, characterisation, computational modelling, and applications

Sergio Lucarini, Mokarram Hossain Orcid Logo, Daniel Garcia-Gonzalez

Composite Structures, Volume: 279, Start page: 114800

Swansea University Author: Mokarram Hossain Orcid Logo

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DOI (Published version): 10.1016/j.compstruct.2021.114800

Abstract

Hard-magnetic soft composites consist of magneto-active polymers (MAPs) where the fillers are composed of hard-magnetic (magnetically polarised) particles. These novel multifunctional materials are experiencing a great advance from the last few years. This rise has been motivated by the possibility...

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Published in: Composite Structures
ISSN: 0263-8223
Published: Elsevier BV 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa58370
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spelling 2021-11-04T15:06:38.3212567 v2 58370 2021-10-18 Recent advances in hard-magnetic soft composites: Synthesis, characterisation, computational modelling, and applications 140f4aa5c5ec18ec173c8542a7fddafd 0000-0002-4616-1104 Mokarram Hossain Mokarram Hossain true false 2021-10-18 GENG Hard-magnetic soft composites consist of magneto-active polymers (MAPs) where the fillers are composed of hard-magnetic (magnetically polarised) particles. These novel multifunctional materials are experiencing a great advance from the last few years. This rise has been motivated by the possibility of controlling ferromagnetic patterns during the manufacturing process. Thus, structures with programmable functionalities can be conceptualised and implemented, opening new routes into the design of smart components with great opportunities in the biomedical engineering and soft robotics fields. In this work, we provide an overview of the state of the art of such MAPs, providing the key fundamentals and reference works. To this end, we present the current synthesis and experimental characterisation methods, the different computational modelling approaches across scales, and a detailed presentation of their current potential applications. Finally, we provide an overall discussion on future perspectives. Journal Article Composite Structures 279 114800 Elsevier BV 0263-8223 Magneto-active polymers (MAP), Hard-magnetics, Magneto-mechanics, Smart materials, Constitutive modelling, Multifunctional composites 1 1 2022 2022-01-01 10.1016/j.compstruct.2021.114800 COLLEGE NANME General Engineering COLLEGE CODE GENG Swansea University 2021-11-04T15:06:38.3212567 2021-10-18T09:15:12.9620230 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering Sergio Lucarini 1 Mokarram Hossain 0000-0002-4616-1104 2 Daniel Garcia-Gonzalez 3 58370__21193__d3becd2964b745979a2804e5c557bcaf.pdf 58370.pdf 2021-10-18T09:17:42.3317124 Output 33362121 application/pdf Accepted Manuscript true 2022-10-15T00:00:00.0000000 ©2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title Recent advances in hard-magnetic soft composites: Synthesis, characterisation, computational modelling, and applications
spellingShingle Recent advances in hard-magnetic soft composites: Synthesis, characterisation, computational modelling, and applications
Mokarram Hossain
title_short Recent advances in hard-magnetic soft composites: Synthesis, characterisation, computational modelling, and applications
title_full Recent advances in hard-magnetic soft composites: Synthesis, characterisation, computational modelling, and applications
title_fullStr Recent advances in hard-magnetic soft composites: Synthesis, characterisation, computational modelling, and applications
title_full_unstemmed Recent advances in hard-magnetic soft composites: Synthesis, characterisation, computational modelling, and applications
title_sort Recent advances in hard-magnetic soft composites: Synthesis, characterisation, computational modelling, and applications
author_id_str_mv 140f4aa5c5ec18ec173c8542a7fddafd
author_id_fullname_str_mv 140f4aa5c5ec18ec173c8542a7fddafd_***_Mokarram Hossain
author Mokarram Hossain
author2 Sergio Lucarini
Mokarram Hossain
Daniel Garcia-Gonzalez
format Journal article
container_title Composite Structures
container_volume 279
container_start_page 114800
publishDate 2022
institution Swansea University
issn 0263-8223
doi_str_mv 10.1016/j.compstruct.2021.114800
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering
document_store_str 1
active_str 0
description Hard-magnetic soft composites consist of magneto-active polymers (MAPs) where the fillers are composed of hard-magnetic (magnetically polarised) particles. These novel multifunctional materials are experiencing a great advance from the last few years. This rise has been motivated by the possibility of controlling ferromagnetic patterns during the manufacturing process. Thus, structures with programmable functionalities can be conceptualised and implemented, opening new routes into the design of smart components with great opportunities in the biomedical engineering and soft robotics fields. In this work, we provide an overview of the state of the art of such MAPs, providing the key fundamentals and reference works. To this end, we present the current synthesis and experimental characterisation methods, the different computational modelling approaches across scales, and a detailed presentation of their current potential applications. Finally, we provide an overall discussion on future perspectives.
published_date 2022-01-01T04:14:51Z
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score 11.037603

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