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  • Quality inspection on recycled coarse aggregates using laser-induced breakdown spectroscopy

    Han Xia, Maarten C.M. Bakker

    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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    Single-shot LIBS was applied for inline quality inspection of RCA (4–12 mm) transported on a conveyor belt at 0.5 m/s and 30 tonnes/hour under industrial operational conditions. Major granular contaminants, e.g. brick, gypsum, rebar, plastic and wood were classified of which classification errors were within the regulated contamination limits (e.g. 0.2–2 cm3/kg for float and 1–5 wt% for sink contaminants). To this end, we first designed a LIBS prototype (without auto-focusing) with a large depth field (± 4 mm) complying with the stream surface height fluctuations to increase the single-shot sampling rate up to 95 %. Second, PLS-DA classification model was validated using manually prepared material batches. The quality (cm3/kg or wt%) of new concrete cast using these material batches, e.g. mechanical strengths were correlated with the LIBS data (number of classified LIBS spectra). It is shown that the LIBS technology is potentially capable of providing efficient, automated real-time quality inspection on RCA in-situ.

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    Empfohlene Zitierweise für das Kapitel/den Beitrag
    Xia H. & Bakker M. 2017. Quality inspection on recycled coarse aggregates using laser-induced breakdown spectroscopy. 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/1000063696-6
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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/1000063696-6