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Detection of unmelted powder in additive manufactured components using computer tomography

Tawfik, Ahmed, Racasan, Radu, Bills, Paul J. and Blunt, Liam (2017) Detection of unmelted powder in additive manufactured components using computer tomography. In: Dimensional X-ray Computed Tomography Conference, 13 July 2017, University of Warwick, UK. (Unpublished)

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Abstract

Additive manufacturing (AM) is recognized as a core technology for producing advanced high value components. The possibility of producing complex and individually modified components as well as prototypes gives additive manufacturing a substantial advantage over conventional subtractive machining. One of the current barriers for most industries in implementing AM is the lack of build repeatability and a deficit in quality assurance standards. The mechanical properties of the components depend critically on the density achieved therefore defect/porosity analysis must be carried out to verify the components’ integrity and viability.
This paper presents a methodology for differentiating between unmelted powder and defects/pores in additive manufactured components using computer tomography thus allowing the detection of pores even when they are “filled” with unmelted powder. The powder used was Ti6AL4V with a grain size of 45-100µm, typically employed with Arcam electron beam melting (EBM) machines. The samples consisted of a plastic test tube filled with powder and a known volume small plastic particles that were placed inside acting as pores/defects. A Nikon XTH 225 industrial CT was used to measure the samples to detect the pores/defects locations and volumes.
To reduce the number of process variables, the measurement parameters, such as filament current, acceleration voltage and X-ray filtering material and thickness are kept constant. VgStudio Max 3.0(Volume Graphics, Germany) software package was used for data processing, surface determination and defects/ porosity analysis. The impact of surface determination on the results, repeatability and accuracy are discussed. The main focus of the study is exploring the optimum methods to enhance the detection capability of pores/defects filled with powder using computer tomography.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering > Centre for Precision Technologies
School of Computing and Engineering
Related URLs:
Depositing User: Radu Racasan
Date Deposited: 07 Dec 2017 15:31
Last Modified: 07 Dec 2017 15:31
URI: http://eprints.hud.ac.uk/id/eprint/34033

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