Characterization and modeling of three-dimensional self-healing shape memory alloy-reinforced metal-matrix composites

Pingping Zhu; Zhiwei Cui; Michael S. Kesler; John A. Newman; Michele V. Manuel; M. Clara Wright; L. Catherine Brinson

doi:10.1016/j.mechmat.2016.09.005

Characterization and modeling of three-dimensional self-healing shape memory alloy-reinforced metal-matrix composites

Pingping Zhu
, Zhiwei Cui
, Michael S. Kesler
, John A. Newman
, Michele V. Manuel
, M. Clara Wright
, L. Catherine Brinson

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

In this work, three-dimensional metal-matrix composites (MMCs) reinforced by shape memory alloy (SMA) wires are modeled and simulated, by adopting an SMA constitutive model accounting for elastic deformation, phase transformation and plastic behavior. A modeling method to create composites with pre-strained SMA wires is also proposed to improve the self-healing ability. Experimental validation is provided with a composite under three-point bending. This modeling method is applied in a series of finite element simulations to investigate the self-healing effects in pre-cracked composites, especially the role of the SMA reinforcement, the softening property of the matrix, and the effect of pre-strain in the SMA. The results demonstrate that SMA reinforcements provide stronger shape recovery ability than other, non-transforming materials. The softening property of the metallic matrix and the pre-strain in SMA are also beneficial to help crack closure and healing. This modeling approach can serve as an efficient tool to design SMA-reinforced MMCs with optimal self-healing properties that have potential applications in components needing a high level of reliability.

Original language	English
Pages (from-to)	1-10
Number of pages	10
Journal	Mechanics of Materials
Volume	103
DOIs	https://doi.org/10.1016/j.mechmat.2016.09.005
State	Published - Dec 1 2016
Externally published	Yes

Funding

This work was performed under the following financial supports of NASA Aeronautics Research Mission Directorate (ARMD) through grant number NNX13AR52A and Department of Energy through grant number DE-SC0010594.

Keywords

Crack closure
Digital image correlation
Finite element model
Phase transformation
Pre-strain

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10.1016/j.mechmat.2016.09.005

Cite this

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title = "Characterization and modeling of three-dimensional self-healing shape memory alloy-reinforced metal-matrix composites",

abstract = "In this work, three-dimensional metal-matrix composites (MMCs) reinforced by shape memory alloy (SMA) wires are modeled and simulated, by adopting an SMA constitutive model accounting for elastic deformation, phase transformation and plastic behavior. A modeling method to create composites with pre-strained SMA wires is also proposed to improve the self-healing ability. Experimental validation is provided with a composite under three-point bending. This modeling method is applied in a series of finite element simulations to investigate the self-healing effects in pre-cracked composites, especially the role of the SMA reinforcement, the softening property of the matrix, and the effect of pre-strain in the SMA. The results demonstrate that SMA reinforcements provide stronger shape recovery ability than other, non-transforming materials. The softening property of the metallic matrix and the pre-strain in SMA are also beneficial to help crack closure and healing. This modeling approach can serve as an efficient tool to design SMA-reinforced MMCs with optimal self-healing properties that have potential applications in components needing a high level of reliability.",

keywords = "Crack closure, Digital image correlation, Finite element model, Phase transformation, Pre-strain",

author = "Pingping Zhu and Zhiwei Cui and Kesler, \{Michael S.\} and Newman, \{John A.\} and Manuel, \{Michele V.\} and Wright, \{M. Clara\} and Brinson, \{L. Catherine\}",

note = "Publisher Copyright: {\textcopyright} 2016",

year = "2016",

month = dec,

day = "1",

doi = "10.1016/j.mechmat.2016.09.005",

language = "English",

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T1 - Characterization and modeling of three-dimensional self-healing shape memory alloy-reinforced metal-matrix composites

AU - Zhu, Pingping

AU - Cui, Zhiwei

AU - Kesler, Michael S.

AU - Newman, John A.

AU - Manuel, Michele V.

AU - Wright, M. Clara

AU - Brinson, L. Catherine

PY - 2016/12/1

Y1 - 2016/12/1

N2 - In this work, three-dimensional metal-matrix composites (MMCs) reinforced by shape memory alloy (SMA) wires are modeled and simulated, by adopting an SMA constitutive model accounting for elastic deformation, phase transformation and plastic behavior. A modeling method to create composites with pre-strained SMA wires is also proposed to improve the self-healing ability. Experimental validation is provided with a composite under three-point bending. This modeling method is applied in a series of finite element simulations to investigate the self-healing effects in pre-cracked composites, especially the role of the SMA reinforcement, the softening property of the matrix, and the effect of pre-strain in the SMA. The results demonstrate that SMA reinforcements provide stronger shape recovery ability than other, non-transforming materials. The softening property of the metallic matrix and the pre-strain in SMA are also beneficial to help crack closure and healing. This modeling approach can serve as an efficient tool to design SMA-reinforced MMCs with optimal self-healing properties that have potential applications in components needing a high level of reliability.

AB - In this work, three-dimensional metal-matrix composites (MMCs) reinforced by shape memory alloy (SMA) wires are modeled and simulated, by adopting an SMA constitutive model accounting for elastic deformation, phase transformation and plastic behavior. A modeling method to create composites with pre-strained SMA wires is also proposed to improve the self-healing ability. Experimental validation is provided with a composite under three-point bending. This modeling method is applied in a series of finite element simulations to investigate the self-healing effects in pre-cracked composites, especially the role of the SMA reinforcement, the softening property of the matrix, and the effect of pre-strain in the SMA. The results demonstrate that SMA reinforcements provide stronger shape recovery ability than other, non-transforming materials. The softening property of the metallic matrix and the pre-strain in SMA are also beneficial to help crack closure and healing. This modeling approach can serve as an efficient tool to design SMA-reinforced MMCs with optimal self-healing properties that have potential applications in components needing a high level of reliability.

KW - Crack closure

KW - Digital image correlation

KW - Finite element model

KW - Phase transformation

KW - Pre-strain

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DO - 10.1016/j.mechmat.2016.09.005

M3 - Article

AN - SCOPUS:84987597441

SN - 0167-6636

VL - 103

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EP - 10

JO - Mechanics of Materials

JF - Mechanics of Materials

ER -

Characterization and modeling of three-dimensional self-healing shape memory alloy-reinforced metal-matrix composites

Abstract

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Keywords

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