Method for characterizing defects/porosity in additive manufactured components using computer tomography

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The key barrier for many industries in adopting additive manufacturing technologies is the lack of quality assurance and repeatability. Defect/porosity analysis is the most important inspection step for any additively manufactured components.
This paper presents a method for the detection of defects/porosity in additive manufactured components using computer tomography. A Nikon XTH225 industrial CT was used to analyse the relative size and location of the defects and assess the capability of the inspection process based on different levels of X-ray detector magnification. To reduce the number of process variables, all the measurement process parameters, such as filament current, acceleration voltage and X-ray filtering material and thickness, are kept constant. The acquired data processing, surface determination process and defect analysis was carried out using the VgStudio Max (Volume Graphics, Germany) software package.
One Ti6AL4V component built using an Arcam Q10 electron beam melting machine (EBM) was used. The results obtained from the XCT scan are compared to the physical defect analysis, by sectioning the component and confirming pore size and location using focus variation interferometry. The effect of surface determination, repeatability and results’ accuracy are discussed. The main focus of the study is on providing best practice regarding the selection of inspection parameters such as magnification to accurately perform the defect detection.
Original languageEnglish
Title of host publicationProceedings of the Special Interest Group Meeting on Dimensional Accuracy and Surface Finish in Additive Manufacturing
Publishereuspen
Pages188-189
Number of pages2
ISBN (Print)9780995775114
Publication statusPublished - Oct 2017
EventJoint Special Interest Group Meeting between EUSPEN and ASPE Dimensional Accuracy and Surface Finish in Additive Manufacturing - Katholieke Universiteit Leuven, Leuven, Belgium
Duration: 10 Oct 201711 Oct 2017

Conference

ConferenceJoint Special Interest Group Meeting between EUSPEN and ASPE Dimensional Accuracy and Surface Finish in Additive Manufacturing
CountryBelgium
CityLeuven
Period10/10/1711/10/17

Fingerprint

Tomography
Porosity
Defects
Inspection
3D printers
Electron beam melting
X rays
Quality assurance
Interferometry
Software packages
Pore size
Detectors
Electric potential
Industry

Cite this

Blunt, L., Tawfik, A., Racasan, R., & Bills, P. (2017). Method for characterizing defects/porosity in additive manufactured components using computer tomography. In Proceedings of the Special Interest Group Meeting on Dimensional Accuracy and Surface Finish in Additive Manufacturing (pp. 188-189). euspen.
Blunt, Liam ; Tawfik, Ahmed ; Racasan, Radu ; Bills, Paul. / Method for characterizing defects/porosity in additive manufactured components using computer tomography. Proceedings of the Special Interest Group Meeting on Dimensional Accuracy and Surface Finish in Additive Manufacturing. euspen, 2017. pp. 188-189
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Blunt, L, Tawfik, A, Racasan, R & Bills, P 2017, Method for characterizing defects/porosity in additive manufactured components using computer tomography. in Proceedings of the Special Interest Group Meeting on Dimensional Accuracy and Surface Finish in Additive Manufacturing. euspen, pp. 188-189, Joint Special Interest Group Meeting between EUSPEN and ASPE Dimensional Accuracy and Surface Finish in Additive Manufacturing, Leuven, Belgium, 10/10/17.

Method for characterizing defects/porosity in additive manufactured components using computer tomography. / Blunt, Liam; Tawfik, Ahmed; Racasan, Radu; Bills, Paul.

Proceedings of the Special Interest Group Meeting on Dimensional Accuracy and Surface Finish in Additive Manufacturing. euspen, 2017. p. 188-189.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Blunt L, Tawfik A, Racasan R, Bills P. Method for characterizing defects/porosity in additive manufactured components using computer tomography. In Proceedings of the Special Interest Group Meeting on Dimensional Accuracy and Surface Finish in Additive Manufacturing. euspen. 2017. p. 188-189