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Probability of Detection applied to X-ray inspection using numerical simulations

Yosifov Miroslav ; Reiter Michael ; Rendl Sarah ; Gusenbauer Christian ; Gutiérrez Ricardo Fernández ; Kastner Johann ; Heinzl Christoph

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Título:
Probability of Detection applied to X-ray inspection using numerical simulations
Autor: Yosifov Miroslav ; Reiter Michael ; Rendl Sarah ; Gusenbauer Christian ; Gutiérrez Ricardo Fernández ; Kastner Johann ; Heinzl Christoph
Assuntos: NDT-wide, Other Methods, Probability of Detection, Simulation
Notas: iCT2022 conference oral presentation
10.5281/zenodo.8098517
RelationTypeNote: HasVersion -- 10.5281/zenodo.8098517
Descrição: In this work, we apply and adapt established Probability of Detection (POD) methods on inline inspection of aluminium cylinder heads using X-ray computed tomography. The CT simulation tool SimCT [4] is used to acquire virtual images of the specimens including artificial defects, which avoids the manufacturing of calibrated defects of known type (e.g., pore, inclusion, crack etc.), size and location. One of the exemplary defects is discussed as representative result together with the generated POD curves as well as its characteristics (i.e., the minimum detected defect, the maximum missed defect, POD(a90) =0.90 and a90/95).
Editor: Zenodo
Data de criação/publicação: 2022
Idioma: Inglês

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