Investigation of the Shape and Detectability of Pores with X-ray Computed Tomography

Baumgärtner B, Hussein J, Hausotte T (2023)

Publication Language: English

Publication Type: Journal article, Review article

Publication year: 2023

Journal

Journal of Manufacturing and Materials Processing MDPI

DOI: 10.3390/jmmp7030103

Abstract

Component porosity is a quality attribute in additive manufacturing (AM). One possibility for the non-destructive three-dimensional determination of porosity or pore shape is X-ray computed tomography (CT), which enables an investigation of the influence of AM process parameters on the appearance and characteristics of the pores. Since there is no porosity standard for CT, a traceable determination of the measurement uncertainty is not possible. Using a digital twin of the CT system, an estimation of the CT measurement uncertainty is in principle possible. In this contribution, experimental CT analyses of powder bed fusion samples made of Ti64 and PA12 are compared with CT simulations. The results show a size-dependent influence on the shape and detectability of the pores. Using the CT model, a simulated shape- and material-dependent probability of detection (POD) is calculated.

Authors with CRIS profile

Benjamin Baumgärtner Sonderforschungsbereich 814/3 Additive Fertigung Juan Hussein Lehrstuhl für Fertigungsmesstechnik (FMT) Tino Hausotte Lehrstuhl für Fertigungsmesstechnik (FMT)

How to cite

APA:

Baumgärtner, B., Hussein, J., & Hausotte, T. (2023). Investigation of the Shape and Detectability of Pores with X-ray Computed Tomography. Journal of Manufacturing and Materials Processing. https://doi.org/10.3390/jmmp7030103

MLA:

Baumgärtner, Benjamin, Juan Hussein, and Tino Hausotte. "Investigation of the Shape and Detectability of Pores with X-ray Computed Tomography." Journal of Manufacturing and Materials Processing (2023).

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