Title : ( Benchmark exercise on image-based permeability determination of engineering textiles: Microscale predictions )
Authors: E. Syerko , T. Schmidt , D. May , C. Binetruy , S.G. Advani , S. Lomov , L. Silva , S. Abaimov , N. Aissa , I. Akhatov , M. Ali , nasser asiyaban , G. Broggi , J. Bruchon , B. Caglar , H. Digonnet , J. Dittmann , S. Drapier , A. Endruweit , A. Guilloux , R. Kandinskii , A. Leygue , B. Mahato , P. Martinez-Lera , M. Matveev , V. Michaud , P. Middendorf , N. Moulin , L. Orgeas , C.H. Park , S. Rief , M. Rouh , I. Sergeichev , M. Shakoor , O. Shishkina , Y. Swolfs , Masoud Tahani , R. Umer , K. Vanclooster , R. Vorobyev ,
Full TextAbstract
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 smallscale 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
Fabrics/textiles; Tow; Permeability; Computational modelling; Resin flow
@article{paperid:1092992,
author = {E. Syerko and T. Schmidt and D. May and C. Binetruy and S.G. Advani and S. Lomov and L. Silva and S. Abaimov and N. Aissa and I. Akhatov and M. Ali and Asiyaban, Nasser 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. Martinez-Lera and M. Matveev and V. Michaud and P. Middendorf and N. Moulin and L. Orgeas and C.H. Park and S. Rief and M. Rouh and I. Sergeichev and M. Shakoor and O. Shishkina and Y. Swolfs and Tahani, Masoud and R. Umer and K. Vanclooster and R. Vorobyev},
title = {Benchmark exercise on image-based permeability determination of engineering textiles: Microscale predictions},
journal = {Composites Part A: Applied Science and Manufacturing},
year = {2023},
volume = {167},
number = {1},
month = {April},
issn = {1359-835X},
pages = {107397--107397},
numpages = {0},
keywords = {Fabrics/textiles; Tow; Permeability; Computational modelling; Resin flow},
}
%0 Journal Article
%T Benchmark exercise on image-based permeability determination of engineering textiles: Microscale predictions
%A E. Syerko
%A T. Schmidt
%A D. May
%A C. Binetruy
%A S.G. Advani
%A S. Lomov
%A L. Silva
%A S. Abaimov
%A N. Aissa
%A I. Akhatov
%A M. Ali
%A Asiyaban, Nasser
%A G. Broggi
%A J. Bruchon
%A B. Caglar
%A H. Digonnet
%A J. Dittmann
%A S. Drapier
%A A. Endruweit
%A A. Guilloux
%A R. Kandinskii
%A A. Leygue
%A B. Mahato
%A P. Martinez-Lera
%A M. Matveev
%A V. Michaud
%A P. Middendorf
%A N. Moulin
%A L. Orgeas
%A C.H. Park
%A S. Rief
%A M. Rouh
%A I. Sergeichev
%A M. Shakoor
%A O. Shishkina
%A Y. Swolfs
%A Tahani, Masoud
%A R. Umer
%A K. Vanclooster
%A R. Vorobyev
%J Composites Part A: Applied Science and Manufacturing
%@ 1359-835X
%D 2023
