Creating a Multi-material Probing Error Test for the Acceptance Testing of Dimensional Computed Tomography Systems

Fabrício Borges de Oliveira, Alessandro Stolfi, Markus Bartscher, Michael Neugebauer

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    Abstract

    The requirement of quality assurance of inner and outer structures in complex multi-material assemblies is one important factor that has encouraged the use of industrial X-ray computed tomography (CT). The application of CT as a coordinate measurement system (CMS) has opened up new challenges, typically associated with performance verification, specification definition and thus standardization. Especially when performing multi-material measurements, further, new, challenging effects are included in dimensional CT measurements, e.g. the influence of material A on material B in multi-material scenarios and the appropriate parameters for surface determination in a multi-surface setting. Thus, this paper presents – as part of a multi-material acceptance test and to create trust in multi-material CT measurement – a new concept for multi-material probing error testing (P-test) and discusses the test design and the first experimental results. This paper also attempts to perform a critical analysis of this new concept ̶ featuring a compound sphere made of two half spheres of different materials ̶ and tries to perform analyses of geometrical features of the new standard.
    Original languageEnglish
    Title of host publicationProceedings of the 7th Conference on Industrial Computed Tomography (iCT 2017)
    Number of pages8
    Publication date2017
    Publication statusPublished - 2017
    Event7th Conference on Industrial Computed Tomography (iCT 2017) - Leuven, Belgium
    Duration: 7 Feb 20179 Feb 2017

    Conference

    Conference7th Conference on Industrial Computed Tomography (iCT 2017)
    Country/TerritoryBelgium
    CityLeuven
    Period07/02/201709/02/2017

    Keywords

    • Acceptance testing
    • Multi-material measurements
    • Computed tomography (CT)
    • Standardization
    • Probing error test (P-test)

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