Region-of-Interest X-Ray Tomography for the Non-Destructive Characterization of Local Fiber Orientation in Large Fiber Composite Parts

Simon Zabler; Katja Schladitz; Kilian Dremel; Jonas Graetz; Dascha Dobrovolskij

doi:10.4028/www.scientific.net/KEM.809.587

Paper Titles

Development of a 25kN In Situ Load Stage Combining X-Ray Computed Tomography and Acoustic Emission Measurement
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Assessment of Secondary Fiber Print-Through Effects on Class-A CFRP Parts Produced with Highly Cost Efficient Processes
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Microscopic Measurement of Strain Fields with Digital Image Correlation and Comparison to Finite Element Modelling
p.575

Passive Thermography for Detection of Damaging Events during Quasi-Static Tensile Testing
p.581

Region-of-Interest X-Ray Tomography for the Non-Destructive Characterization of Local Fiber Orientation in Large Fiber Composite Parts
p.587

Optimization of the Specimen Geometry of Unidirectional Reinforced Composites with a Fibre Orientation of 90° for Tensile, Quasi-Static and Fatigue Tests
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Model-Based Quality Control System for Error Reduction in the Thermoforming Process
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Combined In Situ X-Ray Computed Tomography and Acoustic Emission Analysis for Composite Characterization - A Feasibility Study
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Controlling Moisture Content of Natural Fibres in RTM-Process
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 809Region-of-Interest X-Ray Tomography for the...

Region-of-Interest X-Ray Tomography for the Non-Destructive Characterization of Local Fiber Orientation in Large Fiber Composite Parts

Abstract:

To detect and characterize materials defects in fiber composites as well as for evaluatingthe three-dimensional local fiber orientation in the latter, X-ray micro-CT is the preferred methodof choice. When micro computed tomography is applied to inspect large components, the method isreferred to as region-of-interest computed tomography. Parts can be as large as 10 cm wide and 1 mlong, while the measurement volume of micro computed tomography is a cylinder of only 4 − 5 mmdiameter (typical wall thickness of fiber composite parts). In this report, the potentials and limits ofregion-of-interest computed tomography are discussed with regard to spatial resolution and precisionwhen evaluating defects and local fiber orientation in squeeze cast components. The micro computedtomography scanner metRIC at Fraunhofer‘s Development Center X-ray Technology EZRT deliversregion-of-interest computed tomography up to a spatial resolution of 2 μm/voxel, which is sufficientfor determining the orientation of natural or synthetic fibers, wood, carbon and glass. The mean localfiber orientation is estimated on an isotropic structuring element of approximately 0.1 mm length bymeans of volume image analysis (MAVI software package by Fraunhofer ITWM). Knowing the exactlocal fiber orientation is critical for estimating anisotropic thermal conductivity and materials strength.

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Periodical:

Key Engineering Materials (Volume 809)

Pages:

587-593

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.809.587

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Online since:

June 2019

Authors:

Simon Zabler*, Katja Schladitz, Kilian Dremel, Jonas Graetz, Dascha Dobrovolskij

Keywords:

Computed Tomography, Defect Characterization, Fiber Composite, Image Analysis, Local Fiber Orientation, Region-of-Interest, X-Ray Imaging

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References

[1] P. Wright, X. Fu, I. Sinclair and S.M. Spearing: J. Comp. Mater. Vol. 42-19 (2008), pp.1993-2002.

Google Scholar

[2] A. Diaz, M. Guizar-Sicairos, A. Poeppel, A. Menzel and O. Bunk: Carbon Vol. 67 (2014), pp.98-103.

DOI: 10.1016/j.carbon.2013.09.066

Google Scholar

[3] P.J. Schilling, B.R. Karedla, A.K. Tatiparthi, M.A. Verges and P.D. Herrington: Comp. Sci. Tech. Vol. 65-14 (2005), pp.2071-78.

Google Scholar

[4] J. Kastner, B. Plank, D. Salaberger and J. Sekelja, in 2nd International Symposium on NDT in Aerospace, Hamburg, Germany (2010), pp.1-12.

Google Scholar

[5] D. Salaberger, K.A. Kannappan, J. Kastner, J. Reussner and T. Auinger: Int. Polymer Process. Vol. 26-3 (2011), pp.283-91.

Google Scholar

[6] M. Krause, J.M. Hausherr, B. Burgeth, C. Herrmann, W. Krenkel: J. Mater. Sci. Vol. 45 (2010), pp.888-896.

DOI: 10.1007/s10853-009-4016-4

Google Scholar

[7] T. Riedel, in: Conference on Industrial Computed Tomography (ICT), Wels, Austria (2012).

Google Scholar

[8] P. Westenberger and R. Blanc, in: 6th conference on industrial computed tomography, Wels, Austria (2016).

Google Scholar

[9] K. Schladitz, A. Büter, M. Godehardt, O. Wirjadi, J. Fleckenstein, T. Gerster and S. Mohr: Comp. Struct. Vol. 160 (2017), pp.195-203.

DOI: 10.1016/j.compstruct.2016.10.019

Google Scholar

[10] C. Fella, A. Balles, R. Hanke, A. Last and S. Zabler: Rev. Sci. Instrum. Vol. 88-12 (2017), p.123702.

Google Scholar

[11] Information on https://www.physik.uni-wuerzburg.de/en/lrm/research/software/.

Google Scholar

[12] O. Wirjadi, K. Schladitz, P. Easwaran, J. Ohser: Image Analysis and Stereology, Vol. 35-3 (2016), pp.167-179.

DOI: 10.5566/ias.1489

Google Scholar