Three-dimensional water diffusion and modelling of flax/shape memory epoxy composites

Qinyu Li; Antoine Le Duigou; Vijay Kumar Thakur; Liwu Liu; Jinsong Leng; Fabrizio  Scarpa

doi:10.1016/j.compositesa.2023.107574

Three-dimensional water diffusion and modelling of flax/shape memory epoxy composites

Qinyu Li
, Antoine Le Duigou
, Vijay Kumar Thakur
, Liwu Liu
, Jinsong Leng^*
, Fabrizio Scarpa^*

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

12 Citations (Scopus)

Abstract

Current applications of mass diffusion in composite structures with natural fibres reinforcements focus on the development of large thickness, balanced laminates, and long diffusion times. Hygromorph composites are, however, thin in thickness and possess slender shapes with unbalanced laminate designs, together with higher moisture diffusion speeds. This work proposes a new three-dimensional inverse identification diffusion method based on extracting the diffusion parameters from each direction in hygromorph composites made of the shape memory epoxy and aligned long flax fibres. The proposed methodology is particularly suitable for slender hygromorphs composites, because the in-plane moisture diffusion is non-negligible in those cases. The method proposed here also helps the understanding of the moisture diffusion and associated mechanical deformations in general hygromorph adaptive morphing structures made of natural fibre-reinforced unbalanced composites.

Original language	English
Article number	107574
Journal	Composites Part A: Applied Science and Manufacturing
Volume	171
Early online date	14 Apr 2023
DOIs	https://doi.org/10.1016/j.compositesa.2023.107574
Publication status	E-pub ahead of print - 14 Apr 2023

Bibliographical note

Funding Information:
QL is grateful for the support of the Faculty of Engineering of the University of Bristol. FS acknowledges the logistical support of the H2020 BBI SSUCHY project for the use of the flax fibres and the composites manufacturing facilities. FS also acknowledges the support of the ERC-2020-AdG 101020715 NEUROMETA project.

Publisher Copyright:
© 2023 The Author(s)

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Scarpa, F. (Principal Investigator)
1/10/21 → 30/09/26
Project: Research, Parent

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title = "Three-dimensional water diffusion and modelling of flax/shape memory epoxy composites",

abstract = "Current applications of mass diffusion in composite structures with natural fibres reinforcements focus on the development of large thickness, balanced laminates, and long diffusion times. Hygromorph composites are, however, thin in thickness and possess slender shapes with unbalanced laminate designs, together with higher moisture diffusion speeds. This work proposes a new three-dimensional inverse identification diffusion method based on extracting the diffusion parameters from each direction in hygromorph composites made of the shape memory epoxy and aligned long flax fibres. The proposed methodology is particularly suitable for slender hygromorphs composites, because the in-plane moisture diffusion is non-negligible in those cases. The method proposed here also helps the understanding of the moisture diffusion and associated mechanical deformations in general hygromorph adaptive morphing structures made of natural fibre-reinforced unbalanced composites. ",

author = "Qinyu Li and \{Le Duigou\}, Antoine and Thakur, \{Vijay Kumar\} and Liwu Liu and Jinsong Leng and Fabrizio Scarpa",

note = "Funding Information: QL is grateful for the support of the Faculty of Engineering of the University of Bristol. FS acknowledges the logistical support of the H2020 BBI SSUCHY project for the use of the flax fibres and the composites manufacturing facilities. FS also acknowledges the support of the ERC-2020-AdG 101020715 NEUROMETA project. Publisher Copyright: {\textcopyright} 2023 The Author(s)",

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doi = "10.1016/j.compositesa.2023.107574",

language = "English",

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T1 - Three-dimensional water diffusion and modelling of flax/shape memory epoxy composites

AU - Li, Qinyu

AU - Le Duigou, Antoine

AU - Thakur, Vijay Kumar

AU - Liu, Liwu

AU - Leng, Jinsong

AU - Scarpa, Fabrizio

N1 - Funding Information: QL is grateful for the support of the Faculty of Engineering of the University of Bristol. FS acknowledges the logistical support of the H2020 BBI SSUCHY project for the use of the flax fibres and the composites manufacturing facilities. FS also acknowledges the support of the ERC-2020-AdG 101020715 NEUROMETA project. Publisher Copyright: © 2023 The Author(s)

PY - 2023/4/14

Y1 - 2023/4/14

N2 - Current applications of mass diffusion in composite structures with natural fibres reinforcements focus on the development of large thickness, balanced laminates, and long diffusion times. Hygromorph composites are, however, thin in thickness and possess slender shapes with unbalanced laminate designs, together with higher moisture diffusion speeds. This work proposes a new three-dimensional inverse identification diffusion method based on extracting the diffusion parameters from each direction in hygromorph composites made of the shape memory epoxy and aligned long flax fibres. The proposed methodology is particularly suitable for slender hygromorphs composites, because the in-plane moisture diffusion is non-negligible in those cases. The method proposed here also helps the understanding of the moisture diffusion and associated mechanical deformations in general hygromorph adaptive morphing structures made of natural fibre-reinforced unbalanced composites.

AB - Current applications of mass diffusion in composite structures with natural fibres reinforcements focus on the development of large thickness, balanced laminates, and long diffusion times. Hygromorph composites are, however, thin in thickness and possess slender shapes with unbalanced laminate designs, together with higher moisture diffusion speeds. This work proposes a new three-dimensional inverse identification diffusion method based on extracting the diffusion parameters from each direction in hygromorph composites made of the shape memory epoxy and aligned long flax fibres. The proposed methodology is particularly suitable for slender hygromorphs composites, because the in-plane moisture diffusion is non-negligible in those cases. The method proposed here also helps the understanding of the moisture diffusion and associated mechanical deformations in general hygromorph adaptive morphing structures made of natural fibre-reinforced unbalanced composites.

U2 - 10.1016/j.compositesa.2023.107574

DO - 10.1016/j.compositesa.2023.107574

M3 - Article (Academic Journal)

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VL - 171

JO - Composites Part A: Applied Science and Manufacturing

JF - Composites Part A: Applied Science and Manufacturing

M1 - 107574

ER -

Three-dimensional water diffusion and modelling of flax/shape memory epoxy composites

Abstract

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NEUROMETA: Natural nEUROactive Mechanical mETAmaterials

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