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A review on shape memory alloy reinforced polymer composite materials and structures

Jitendra Bhaskar, Arun Kumar Sharma, Bishakh Bhattacharya, Sondipon Adhikari Orcid Logo

Smart Materials and Structures, Volume: 29, Issue: 7, Start page: 073001

Swansea University Author: Sondipon Adhikari Orcid Logo

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DOI (Published version): 10.1088/1361-665x/ab8836

Abstract

Imparting controllable flexural rigidity into a material system is one of the key motivations for the design of intelligent materials for structural applications. In this direction, shape memory alloy (SMA) reinforced polymer composites have enormous potentials for active shape and vibration control...

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Published in: Smart Materials and Structures
ISSN: 0964-1726 1361-665X
Published: IOP Publishing 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa54761
first_indexed 2020-07-16T11:25:45Z
last_indexed 2020-09-02T03:21:21Z
id cronfa54761
recordtype SURis
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spelling 2020-09-01T11:30:58.3010034 v2 54761 2020-07-16 A review on shape memory alloy reinforced polymer composite materials and structures 4ea84d67c4e414f5ccbd7593a40f04d3 0000-0003-4181-3457 Sondipon Adhikari Sondipon Adhikari true false 2020-07-16 ACEM Imparting controllable flexural rigidity into a material system is one of the key motivations for the design of intelligent materials for structural applications. In this direction, shape memory alloy (SMA) reinforced polymer composites have enormous potentials for active shape and vibration control of systems related to aerospace, automobile, and energy harvesting applications. The primary motivation of reinforcing SMA wires into a composite is to actively change the composite stiffness or elasticity through thermo-mechanical as well as electrical/magnetic stimulation. The SMA-reinforced hybrid composites are found to be able to adapt their shape, which may also improve the specific strength, vibration damping, and self-healing capability by utilizing shape memory effect and pseudoelastic behavior of the SMA. In this paper, we intend to provide a comprehensive review of all SMA-reinforced composites available today in the open literature and a critical assessment of the technology. Currently, shape memory alloys in the form of long fibers (wires), ribbons, short fibers, and particles are used for hybridizing the reinforcements in composites. Continuous SMA fiber embedded composites are generally used for shape control of structures. However, it has difficulty in obtaining suitable interfacial characteristics required for actuation. The discontinuous SMA embedded composites have scope for modifying such active properties. The work presented here gives an overview of the concepts of design, development, and modeling of continuous and discontinuous shape memory alloy embedded composites for advanced smart composites. Journal Article Smart Materials and Structures 29 7 073001 IOP Publishing 0964-1726 1361-665X 2 6 2020 2020-06-02 10.1088/1361-665x/ab8836 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2020-09-01T11:30:58.3010034 2020-07-16T12:23:40.4153187 Jitendra Bhaskar 1 Arun Kumar Sharma 2 Bishakh Bhattacharya 3 Sondipon Adhikari 0000-0003-4181-3457 4
title A review on shape memory alloy reinforced polymer composite materials and structures
spellingShingle A review on shape memory alloy reinforced polymer composite materials and structures
Sondipon Adhikari
title_short A review on shape memory alloy reinforced polymer composite materials and structures
title_full A review on shape memory alloy reinforced polymer composite materials and structures
title_fullStr A review on shape memory alloy reinforced polymer composite materials and structures
title_full_unstemmed A review on shape memory alloy reinforced polymer composite materials and structures
title_sort A review on shape memory alloy reinforced polymer composite materials and structures
author_id_str_mv 4ea84d67c4e414f5ccbd7593a40f04d3
author_id_fullname_str_mv 4ea84d67c4e414f5ccbd7593a40f04d3_***_Sondipon Adhikari
author Sondipon Adhikari
author2 Jitendra Bhaskar
Arun Kumar Sharma
Bishakh Bhattacharya
Sondipon Adhikari
format Journal article
container_title Smart Materials and Structures
container_volume 29
container_issue 7
container_start_page 073001
publishDate 2020
institution Swansea University
issn 0964-1726
1361-665X
doi_str_mv 10.1088/1361-665x/ab8836
publisher IOP Publishing
document_store_str 0
active_str 0
description Imparting controllable flexural rigidity into a material system is one of the key motivations for the design of intelligent materials for structural applications. In this direction, shape memory alloy (SMA) reinforced polymer composites have enormous potentials for active shape and vibration control of systems related to aerospace, automobile, and energy harvesting applications. The primary motivation of reinforcing SMA wires into a composite is to actively change the composite stiffness or elasticity through thermo-mechanical as well as electrical/magnetic stimulation. The SMA-reinforced hybrid composites are found to be able to adapt their shape, which may also improve the specific strength, vibration damping, and self-healing capability by utilizing shape memory effect and pseudoelastic behavior of the SMA. In this paper, we intend to provide a comprehensive review of all SMA-reinforced composites available today in the open literature and a critical assessment of the technology. Currently, shape memory alloys in the form of long fibers (wires), ribbons, short fibers, and particles are used for hybridizing the reinforcements in composites. Continuous SMA fiber embedded composites are generally used for shape control of structures. However, it has difficulty in obtaining suitable interfacial characteristics required for actuation. The discontinuous SMA embedded composites have scope for modifying such active properties. The work presented here gives an overview of the concepts of design, development, and modeling of continuous and discontinuous shape memory alloy embedded composites for advanced smart composites.
published_date 2020-06-02T20:06:43Z
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score 11.047609

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