Dataset of non-crimp fabric reinforced composites for an X-ray computer tomography aided engineering process

Robert M. Auenhammer; Lars P. Mikkelsen; Leif E. Asp; Brina J. Blinzler

doi:10.1016/j.dib.2020.106518

Dataset of non-crimp fabric reinforced composites for an X-ray computer tomography aided engineering process

Robert M. Auenhammer^*
, Lars P. Mikkelsen
, Leif E. Asp
, Brina J. Blinzler

^*Corresponding author for this work

Villum Center for Advanced Structural and Material Testing

Chalmers University of Technology

Research output: Contribution to journal › Journal article › Research › peer-review

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Abstract

This data in brief article describes a dataset used for an X-ray computer tomography aided engineering process consisting of X-ray computer tomography data and finite element models of non-crimp fabric glass fibre reinforced composites. Additional scanning electron microscope images are provided for the validation of the fibre volume fraction. The specimens consist of 4 layers of unidirectional bundles each supported by off-axis backing bundles with an average orientation on ±80°. The finite element models, which were created solely on the image data, simulate the tensile stiffness of the samples. The data can be used as a benchmark dataset to apply different segmentation algorithms on the X-ray computer tomography data. It can be further used to run the models using different finite element solvers.

Original language	English
Article number	106518
Journal	Data in Brief
Volume	33
Number of pages	6
ISSN	2352-3409
DOIs	https://doi.org/10.1016/j.dib.2020.106518
Publication status	Published - 2020

Keywords

Composites
X-ray computer tomography
Segmentation
Finite element modelling

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10.1016/j.dib.2020.106518Licence: CC BY-NC-ND

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MicroLab at DTU Wind Energy
Mikkelsen, L. P. (PI), Fæster, S. (PI), Vogeley, E. (PI) & Sørensen, B. F. (PI)
01/01/2021 → …
Project: Research
CASMaT: Villum Center for Advanced Structural and Material Testing
Stang, H. (Project Manager), Kleis, C. (Project Participant), Mikkelsen, L. P. (Project Participant), Sørensen, B. F. (Project Participant), Toftegaard, H. (Project Participant), Berggreen, C. (Project Participant), Branner, K. (Project Participant), Michel, A. (Project Participant), Andreassen, M. J. (Project Participant), Luczak, M. (Project Participant), Chen, X. (Project Participant), Bjørnbak-Hansen, J. (Project Participant), Legarth, B. N. (Project Participant), Waldbjørn, J. P. (Project Participant), Bangaru, A. K. (PhD Student), Moncy, A. (PhD Student) & Quinlan, A. R. (PhD Student)
07/11/2017 → …
Project: Research

Automated X-ray computer tomography segmentation method for finite element analysis of non-crimp fabric reinforced composites
Auenhammer, R. M., Mikkelsen, L. P., Asp, L. E. & Blinzler, B. J., 2021, In: Composite Structures. 256, 12 p., 113136.
Research output: Contribution to journal › Journal article › Research › peer-review

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title = "Dataset of non-crimp fabric reinforced composites for an X-ray computer tomography aided engineering process",

abstract = "This data in brief article describes a dataset used for an X-ray computer tomography aided engineering process consisting of X-ray computer tomography data and finite element models of non-crimp fabric glass fibre reinforced composites. Additional scanning electron microscope images are provided for the validation of the fibre volume fraction. The specimens consist of 4 layers of unidirectional bundles each supported by off-axis backing bundles with an average orientation on ±80°. The finite element models, which were created solely on the image data, simulate the tensile stiffness of the samples. The data can be used as a benchmark dataset to apply different segmentation algorithms on the X-ray computer tomography data. It can be further used to run the models using different finite element solvers.",

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journal = "Data in Brief",

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AU - Blinzler, Brina J.

PY - 2020

Y1 - 2020

N2 - This data in brief article describes a dataset used for an X-ray computer tomography aided engineering process consisting of X-ray computer tomography data and finite element models of non-crimp fabric glass fibre reinforced composites. Additional scanning electron microscope images are provided for the validation of the fibre volume fraction. The specimens consist of 4 layers of unidirectional bundles each supported by off-axis backing bundles with an average orientation on ±80°. The finite element models, which were created solely on the image data, simulate the tensile stiffness of the samples. The data can be used as a benchmark dataset to apply different segmentation algorithms on the X-ray computer tomography data. It can be further used to run the models using different finite element solvers.

AB - This data in brief article describes a dataset used for an X-ray computer tomography aided engineering process consisting of X-ray computer tomography data and finite element models of non-crimp fabric glass fibre reinforced composites. Additional scanning electron microscope images are provided for the validation of the fibre volume fraction. The specimens consist of 4 layers of unidirectional bundles each supported by off-axis backing bundles with an average orientation on ±80°. The finite element models, which were created solely on the image data, simulate the tensile stiffness of the samples. The data can be used as a benchmark dataset to apply different segmentation algorithms on the X-ray computer tomography data. It can be further used to run the models using different finite element solvers.

KW - Composites

KW - X-ray computer tomography

KW - Segmentation

KW - Finite element modelling

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DO - 10.1016/j.dib.2020.106518

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VL - 33

JO - Data in Brief

JF - Data in Brief

M1 - 106518

ER -

Dataset of non-crimp fabric reinforced composites for an X-ray computer tomography aided engineering process

Abstract

Keywords

Access to Document

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Projects

MicroLab at DTU Wind Energy

CASMaT: Villum Center for Advanced Structural and Material Testing

Research output

Automated X-ray computer tomography segmentation method for finite element analysis of non-crimp fabric reinforced composites

Cite this