Skip to main content

Research Repository

Advanced Search

Benchmark exercise on image-based permeability determination of engineering textiles: Microscale predictions

Syerko, E.; Schmidt, T.; May, D.; Binetruy, C.; Advani, S.G.; Lomov, S.; Silva, L.; Abaimov, S.; Aissa, N.; Akhatov, I.; Ali, M.; Asiaban, N.; Broggi, G.; Bruchon, J.; Caglar, B.; Digonnet, H.; Dittmann, J.; Drapier, S.; Endruweit, A.; Guilloux, A.; Kandinskii, R.; Leygue, A.; Mahato, B.; Martínez-Lera, P.; Matveev, M.; Michaud, V.; Middendorf, P.; Moulin, N.; Orgéas, L.; Park, C.H.; Rief, S.; Rouhi, M.; Sergeichev, I.; Shakoor, M.; Shishkina, O.; Swolfs, Y.; Tahani, M.; Umer, R.; Vanclooster, K.; Vorobyev, R.

Benchmark exercise on image-based permeability determination of engineering textiles: Microscale predictions Thumbnail


Authors

E. Syerko

T. Schmidt

D. May

C. Binetruy

S.G. Advani

S. Lomov

L. Silva

S. Abaimov

N. Aissa

I. Akhatov

M. Ali

N. Asiaban

G. Broggi

J. Bruchon

B. Caglar

H. Digonnet

J. Dittmann

S. Drapier

A. Guilloux

R. Kandinskii

A. Leygue

B. Mahato

P. Martínez-Lera

MIKHAIL MATVEEV MIKHAIL.MATVEEV@NOTTINGHAM.AC.UK
Assistant Professor in Engineering Mechanics - Statics & Dynamics

V. Michaud

P. Middendorf

N. Moulin

L. Orgéas

C.H. Park

S. Rief

M. Rouhi

I. Sergeichev

M. Shakoor

O. Shishkina

Y. Swolfs

M. Tahani

R. Umer

K. Vanclooster

R. Vorobyev



Abstract

Permeability measurements of engineering textiles exhibit large variability as no standardization method currently exists; numerical permeability prediction is thus an attractive alternative. It has all advantages of virtual material characterization, including the possibility to study the impact of material variability and small-scale parameters. This paper presents the results of an international virtual permeability benchmark, which is a first contribution to permeability predictions for fibrous reinforcements based on real images. In this first stage, the focus was on the microscale computation of fiber bundle permeability. In total 16 participants provided 50 results using different numerical methods, boundary conditions, permeability identification techniques. The scatter of the predicted axial permeability after the elimination of inconsistent results was found to be smaller (14%) than that of the transverse permeability (∼24%). Dominant effects on the permeability were found to be the boundary conditions in tangential direction, number of sub-domains used in the renormalization approach, and the permeability identification technique.

Citation

Syerko, E., Schmidt, T., May, D., Binetruy, C., Advani, S., Lomov, S., …Vorobyev, R. (2023). Benchmark exercise on image-based permeability determination of engineering textiles: Microscale predictions. Composites Part A: Applied Science and Manufacturing, 167, Article 107397. https://doi.org/10.1016/j.compositesa.2022.107397

Journal Article Type Article
Acceptance Date Dec 21, 2022
Online Publication Date Jan 6, 2023
Publication Date 2023-04
Deposit Date Jan 11, 2023
Publicly Available Date Jan 7, 2024
Journal Composites Part A: Applied Science and Manufacturing
Print ISSN 1359-835X
Electronic ISSN 1878-5840
Peer Reviewed Peer Reviewed
Volume 167
Article Number 107397
DOI https://doi.org/10.1016/j.compositesa.2022.107397
Public URL https://nottingham-repository.worktribe.com/output/15436382
Publisher URL https://www.sciencedirect.com/science/article/pii/S1359835X22005784

Files

Benchmark exercise on image-based permeability determination of engineering textiles: microscale predictions (1.9 Mb)
PDF




You might also like



Downloadable Citations