Investigating predictive capabilities of image-based modeling for woven composites in a scalable computing environment

J. Farooqi; P. Mummery; F. Calvo; L. Margetts; M. Sheikh

Investigating predictive capabilities of image-based modeling for woven composites in a scalable computing environment

J. Farooqi, P. Mummery, F. Calvo, L. Margetts, M. Sheikh

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

This paper covers research on preparing a nearly exact 3D composite material model that captures the complexity of a woven textile used in these Carbon-Carbon composites. X-ray microtomography has been used for this purpose. Higher resolution models, necessary to establish phase separation between constituents, form very large data sets that have been accommodated in parallel-processing supercomputers. Basic stress/strain behavior has been simulated with due agreement with experimental results through in-situ measurement in a tension test. Elastic modulus measured through either technique bears decent resemblance to the other, thus validating the image-based modeling route for this and other future applications. © 2008 MS&T'08 ®.

Original language	English
Title of host publication	Materials Science and Technology Conference and Exhibition, MS and T'08\|Mater. Sci. Technol. Conf. Exhib., MST
Pages	506-512
Number of pages	6
Volume	1
Publication status	Published - 2008
Event	Materials Science and Technology Conference and Exhibition, MS and T'08 - Pittsburgh, PA Duration: 1 Jul 2008 → …

Conference

Conference	Materials Science and Technology Conference and Exhibition, MS and T'08
City	Pittsburgh, PA
Period	1/07/08 → …

Keywords

Composites
Finite element analysis
Modeling
Modulus of elasticity
X-ray microtomography

Cite this

@inproceedings{b5891bf1eea0471db19572f0d6045d40,

title = "Investigating predictive capabilities of image-based modeling for woven composites in a scalable computing environment",

abstract = "This paper covers research on preparing a nearly exact 3D composite material model that captures the complexity of a woven textile used in these Carbon-Carbon composites. X-ray microtomography has been used for this purpose. Higher resolution models, necessary to establish phase separation between constituents, form very large data sets that have been accommodated in parallel-processing supercomputers. Basic stress/strain behavior has been simulated with due agreement with experimental results through in-situ measurement in a tension test. Elastic modulus measured through either technique bears decent resemblance to the other, thus validating the image-based modeling route for this and other future applications. {\textcopyright} 2008 MS&T'08 {\textregistered}.",

keywords = "Composites, Finite element analysis, Modeling, Modulus of elasticity, X-ray microtomography",

author = "J. Farooqi and P. Mummery and F. Calvo and L. Margetts and M. Sheikh",

year = "2008",

language = "English",

isbn = "9781605606217",

volume = "1",

pages = "506--512",

booktitle = "Materials Science and Technology Conference and Exhibition, MS and T'08|Mater. Sci. Technol. Conf. Exhib., MST",

note = "Materials Science and Technology Conference and Exhibition, MS and T'08 ; Conference date: 01-07-2008",

}

Farooqi, J, Mummery, P, Calvo, F, Margetts, L & Sheikh, M 2008, Investigating predictive capabilities of image-based modeling for woven composites in a scalable computing environment. in Materials Science and Technology Conference and Exhibition, MS and T'08|Mater. Sci. Technol. Conf. Exhib., MST. vol. 1, pp. 506-512, Materials Science and Technology Conference and Exhibition, MS and T'08, Pittsburgh, PA, 1/07/08.

Investigating predictive capabilities of image-based modeling for woven composites in a scalable computing environment. / Farooqi, J.; Mummery, P.; Calvo, F. et al.
Materials Science and Technology Conference and Exhibition, MS and T'08|Mater. Sci. Technol. Conf. Exhib., MST. Vol. 1 2008. p. 506-512.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Investigating predictive capabilities of image-based modeling for woven composites in a scalable computing environment

AU - Farooqi, J.

AU - Mummery, P.

AU - Calvo, F.

AU - Margetts, L.

AU - Sheikh, M.

PY - 2008

Y1 - 2008

N2 - This paper covers research on preparing a nearly exact 3D composite material model that captures the complexity of a woven textile used in these Carbon-Carbon composites. X-ray microtomography has been used for this purpose. Higher resolution models, necessary to establish phase separation between constituents, form very large data sets that have been accommodated in parallel-processing supercomputers. Basic stress/strain behavior has been simulated with due agreement with experimental results through in-situ measurement in a tension test. Elastic modulus measured through either technique bears decent resemblance to the other, thus validating the image-based modeling route for this and other future applications. © 2008 MS&T'08 ®.

AB - This paper covers research on preparing a nearly exact 3D composite material model that captures the complexity of a woven textile used in these Carbon-Carbon composites. X-ray microtomography has been used for this purpose. Higher resolution models, necessary to establish phase separation between constituents, form very large data sets that have been accommodated in parallel-processing supercomputers. Basic stress/strain behavior has been simulated with due agreement with experimental results through in-situ measurement in a tension test. Elastic modulus measured through either technique bears decent resemblance to the other, thus validating the image-based modeling route for this and other future applications. © 2008 MS&T'08 ®.

KW - Composites

KW - Finite element analysis

KW - Modeling

KW - Modulus of elasticity

KW - X-ray microtomography

M3 - Conference contribution

SN - 9781605606217

VL - 1

SP - 506

EP - 512

BT - Materials Science and Technology Conference and Exhibition, MS and T'08|Mater. Sci. Technol. Conf. Exhib., MST

T2 - Materials Science and Technology Conference and Exhibition, MS and T'08

Y2 - 1 July 2008

ER -

Investigating predictive capabilities of image-based modeling for woven composites in a scalable computing environment

Abstract

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Keywords

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