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

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. Endruweit; A. Guilloux; R. Kandinskii; A. Leygue; B. Mahato; P. Martínez-Lera; M. Matveev; 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

doi:10.1016/j.compositesa.2022.107397

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

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. Endruweit, A. GuillouxR. Kandinskii, A. Leygue, B. Mahato, P. Martínez-Lera, M. Matveev, 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

^*Corresponding author for this work

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

18 Citations (Scopus)

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.

Original language	English
Article number	107397
Journal	Composites Part A: Applied Science and Manufacturing
Volume	167
Early online date	6 Jan 2023
DOIs	https://doi.org/10.1016/j.compositesa.2022.107397
Publication status	Published - Apr 2023

Keywords

A. Fabrics/textiles
A. Tow
B. Permeability
C. Computational modelling
E. Resin flow

ASJC Scopus subject areas

Ceramics and Composites
Mechanics of Materials

Access to Document

10.1016/j.compositesa.2022.107397

Cite this

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., ... 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

@article{601d5c11502f4af68aa22b213be4e8c9,

title = "Benchmark exercise on image-based permeability determination of engineering textiles: Microscale predictions",

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.",

keywords = "A. Fabrics/textiles, A. Tow, B. Permeability, C. Computational modelling, E. Resin flow",

author = "E. Syerko and T. Schmidt and D. May and C. Binetruy and Advani, {S. G.} and S. Lomov and L. Silva and S. Abaimov and N. Aissa and I. Akhatov and M. Ali and N. Asiaban and G. Broggi and J. Bruchon and B. Caglar and H. Digonnet and J. Dittmann and S. Drapier and A. Endruweit and A. Guilloux and R. Kandinskii and A. Leygue and B. Mahato and P. Mart{\'i}nez-Lera and M. Matveev and V. Michaud and P. Middendorf and N. Moulin and L. Org{\'e}as and Park, {C. H.} and S. Rief and M. Rouhi and I. Sergeichev and M. Shakoor and O. Shishkina and Y. Swolfs and M. Tahani and R. Umer and K. Vanclooster and R. Vorobyev",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",

year = "2023",

month = apr,

doi = "10.1016/j.compositesa.2022.107397",

language = "English",

volume = "167",

journal = "Composites Part A: Applied Science and Manufacturing",

issn = "1359-835X",

publisher = "Elsevier",

}

Syerko, E, Schmidt, T, May, D, Binetruy, C, Advani, SG, 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, CH, Rief, S, Rouhi, M, Sergeichev, I, Shakoor, M, Shishkina, O, Swolfs, Y, Tahani, M, Umer, R, Vanclooster, K & Vorobyev, R 2023, 'Benchmark exercise on image-based permeability determination of engineering textiles: Microscale predictions', Composites Part A: Applied Science and Manufacturing, vol. 167, 107397. https://doi.org/10.1016/j.compositesa.2022.107397

TY - JOUR

T1 - Benchmark exercise on image-based permeability determination of engineering textiles

T2 - Microscale predictions

AU - Syerko, E.

AU - Schmidt, T.

AU - May, D.

AU - Binetruy, C.

AU - Advani, S. G.

AU - Lomov, S.

AU - Silva, L.

AU - Abaimov, S.

AU - Aissa, N.

AU - Akhatov, I.

AU - Ali, M.

AU - Asiaban, N.

AU - Broggi, G.

AU - Bruchon, J.

AU - Caglar, B.

AU - Digonnet, H.

AU - Dittmann, J.

AU - Drapier, S.

AU - Endruweit, A.

AU - Guilloux, A.

AU - Kandinskii, R.

AU - Leygue, A.

AU - Mahato, B.

AU - Martínez-Lera, P.

AU - Matveev, M.

AU - Michaud, V.

AU - Middendorf, P.

AU - Moulin, N.

AU - Orgéas, L.

AU - Park, C. H.

AU - Rief, S.

AU - Rouhi, M.

AU - Sergeichev, I.

AU - Shakoor, M.

AU - Shishkina, O.

AU - Swolfs, Y.

AU - Tahani, M.

AU - Umer, R.

AU - Vanclooster, K.

AU - Vorobyev, R.

PY - 2023/4

Y1 - 2023/4

N2 - 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.

AB - 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.

KW - A. Fabrics/textiles

KW - A. Tow

KW - B. Permeability

KW - C. Computational modelling

KW - E. Resin flow

UR - http://www.scopus.com/inward/record.url?scp=85146147537&partnerID=8YFLogxK

U2 - 10.1016/j.compositesa.2022.107397

DO - 10.1016/j.compositesa.2022.107397

M3 - Article

AN - SCOPUS:85146147537

SN - 1359-835X

VL - 167

JO - Composites Part A: Applied Science and Manufacturing

JF - Composites Part A: Applied Science and Manufacturing

M1 - 107397

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this