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Experimental and computation assessment of thermomechanical effects during auxetic foam fabrication

Experimental and computation assessment of thermomechanical effects during auxetic foam fabrication
Experimental and computation assessment of thermomechanical effects during auxetic foam fabrication
Auxetic foams continue to interest researchers owing to their unique and enhanced properties. Existing studies attest to the importance of fabrication mechanisms and parameters. However, disparity in thermo-mechanical parameters has left much debate as to which factors dominate fabrication output quality. This paper provides experimental, computational, and statistical insights into the mechanisms that enable auxetic foams to be produced, using key parameters reported within the literature: porosity; heating time; and volumetric compression ratio. To advance the considerations on manufacturing parameter dominance, both study design and scale have been optimised to enable statistical inferences to be drawn. Whilst being unusual for a manufacturing domain, such additional analysis provides more conclusive evidence of auxetic properties and highlights the supremacy of volumetric compression ratio in predicting Poisson’s ratio outcomes in the manufacture process. Furthermore statistical results are exploited to formulate key recommendations for those wishing to maximise/optimise auxetic foam production.
Auxetic, Auxetic foams, Modelling;, Negative Poisson’s ratio, Smart materials, Statistics
2045-2322
Critchley, Richard
da02869a-edd6-4c6e-b082-c867106964a9
Corni, Ilaria
f3279082-7093-4a67-b1d7-9ab8bac75b8b
Wharton, Julian
965a38fd-d2bc-4a19-a08c-2d4e036aa96b
Walsh, Frank
309528e7-062e-439b-af40-9309bc91efb2
Wood, Robert
d9523d31-41a8-459a-8831-70e29ffe8a73
Stokes, Keith
5fb4e7f7-2f7e-4e6e-a045-6d7690626695
Critchley, Richard
da02869a-edd6-4c6e-b082-c867106964a9
Corni, Ilaria
f3279082-7093-4a67-b1d7-9ab8bac75b8b
Wharton, Julian
965a38fd-d2bc-4a19-a08c-2d4e036aa96b
Walsh, Frank
309528e7-062e-439b-af40-9309bc91efb2
Wood, Robert
d9523d31-41a8-459a-8831-70e29ffe8a73
Stokes, Keith
5fb4e7f7-2f7e-4e6e-a045-6d7690626695

Critchley, Richard, Corni, Ilaria, Wharton, Julian, Walsh, Frank, Wood, Robert and Stokes, Keith (2020) Experimental and computation assessment of thermomechanical effects during auxetic foam fabrication. Scientific Reports, 10 (1), [18301]. (doi:10.1038/s41598-020-75298-w).

Record type: Article

Abstract

Auxetic foams continue to interest researchers owing to their unique and enhanced properties. Existing studies attest to the importance of fabrication mechanisms and parameters. However, disparity in thermo-mechanical parameters has left much debate as to which factors dominate fabrication output quality. This paper provides experimental, computational, and statistical insights into the mechanisms that enable auxetic foams to be produced, using key parameters reported within the literature: porosity; heating time; and volumetric compression ratio. To advance the considerations on manufacturing parameter dominance, both study design and scale have been optimised to enable statistical inferences to be drawn. Whilst being unusual for a manufacturing domain, such additional analysis provides more conclusive evidence of auxetic properties and highlights the supremacy of volumetric compression ratio in predicting Poisson’s ratio outcomes in the manufacture process. Furthermore statistical results are exploited to formulate key recommendations for those wishing to maximise/optimise auxetic foam production.

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Auxetic Manuscript - Compiled Revisions_approved - Accepted Manuscript
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More information

Accepted/In Press date: 9 October 2020
e-pub ahead of print date: 27 October 2020
Published date: 1 December 2020
Additional Information: Funding Information: The authors gratefully acknowledge the financial support of EPSRC and Dstl (EP/G042195/1). Funding Information: This study was funded by EPSRC and Dstl (EP/G042195/1). Publisher Copyright: © 2020, The Author(s).
Keywords: Auxetic, Auxetic foams, Modelling;, Negative Poisson’s ratio, Smart materials, Statistics

Identifiers

Local EPrints ID: 444854
URI: http://eprints.soton.ac.uk/id/eprint/444854
ISSN: 2045-2322
PURE UUID: 585dc564-a94d-4c9f-96ea-e5455b66347d
ORCID for Julian Wharton: ORCID iD orcid.org/0000-0002-3439-017X
ORCID for Robert Wood: ORCID iD orcid.org/0000-0003-0681-9239

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Date deposited: 06 Nov 2020 17:32
Last modified: 17 Mar 2024 06:01

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Contributors

Author: Richard Critchley
Author: Ilaria Corni
Author: Julian Wharton ORCID iD
Author: Frank Walsh
Author: Robert Wood ORCID iD
Author: Keith Stokes

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