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  • Concentration determination for sorting applications using dual energy X-ray transmission imaging

    Markus Firsching, Julija Lucic, Alexander Ennen, Normann Uhlmann

    Kapitel/Beitrag aus dem Buch: Längle, T et al. 2017. OCM 2017 – 3rd International Conference on Optical Characterization of Materials, March 22nd – 23rd, 2017, Karlsruhe, Germany : Conference Proceedings.

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    Dual Energy X-ray imaging is a method to provide quantitative information about the examined material. With Fraunhofer EZRT’s Dual Energy technique it is possible to determine the concentration of a specific material in an object. This is realized through the Fraunhofer Dual Energy algorithm, which is using two X-ray spectra and/or spectral detector efficiencies for Dual Energy X-ray imaging. In this way, an areal mass density is obtained and the fraction of the mass of two given materials that differ in atomic number can be determined. This information can be used for material characterization. So X-ray Dual Energy can also be useful in industrial applications, for example to reduce the contamination of wood chips by plastic pieces. In general, differentiation is difficult in terms of gray values or shape. Here the Dual Energy method shows advantages. An overview on the method will be given as well as an introduction to current and future fields of application. The results from the test case of differentiating wood from plastics are presented and discussed.

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    Empfohlene Zitierweise für das Kapitel/den Beitrag
    Firsching, M et al. 2017. Concentration determination for sorting applications using dual energy X-ray transmission imaging. In: Längle, T et al (eds.), OCM 2017 – 3rd International Conference on Optical Characterization of Materials, March 22nd – 23rd, 2017, Karlsruhe, Germany : Conference Proceedings. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.58895/ksp/1000063696-7
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    This chapter distributed under the terms of the Creative Commons Attribution + ShareAlike 4.0 license. Copyright is retained by the author(s)

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    Dieses Buch ist Peer reviewed. Informationen dazu Hier finden Sie mehr Informationen zur wissenschaftlichen Qualitätssicherung der MAP-Publikationen.

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    Veröffentlicht am 24. März 2017

    DOI
    https://doi.org/10.58895/ksp/1000063696-7