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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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https://doi.org/10.5281/zenodo...
Dataset . 2020
License: CC BY
Data sources: Sygma
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Automated X-ray computer tomography segmentation method for finite element analysis of non-crimp fabrics reinforced composites

Authors: Auenhammer, Robert M.; Mikkelsen, Lars P.; Asp, Leif E.; Blinzler, Brina;

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

Abstract

Data behind the publications: Auenhammer, R.M., Mikkelsen, L.P., Asp, L., Blinzler, B. Automated X-ray computer tomography segmentation method for finite element analysis of non-crimp fabric reinforced composites. Composite Structures, 256, 113136, https://doi.org/10.1016/j.compstruct.2020.113136, 2021. Auenhammer, Robert M., Lars P. Mikkelsen, Leif E. Asp, Brina J. Blinzler, Dataset of non-crimp fabric reinforced composites for an X-ray computer tomography aided engineering process, Data in Brief, 33, 106518, https://doi.org/10.1016/j.dib.2020.106518, 2020. Auenhammer, R.M., L.P. Mikkelsen, L.E. Asp, B.J. Blinzler, X-ray tomography based numerical analysis of stress concentrations in non-crimp fabric reinforced composites - assessment of segmentation methods. IOP Conf. Ser.: Mater. Sci. Eng. 942, 012038, https://doi.org/10.1088/1757-899X/942/1/012038, 2020 The data-set contain data from three samples: A, E and G. For each sample the data are saved in the follow format X-ray scan: nii-files SEM scan: tif-files Abaqus files: inp-files X-ray setting: pdf-files SEM settings: hdr-ascii files

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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