| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Bills, Paul
University of Huddersfield
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2024Trueness of vat-photopolymerization printing technology of interim fixed partial denture with different building orientationcitations
- 2021Comparison and appraisal of techniques for the determination of material loss from tapered orthopaedic surfacescitations
- 2020Challenges in Inspecting Internal Features for SLM Additive Manufactured Build Artifactscitations
- 2020The Detection of Unfused Powder in EBM and SLM Additive Manufactured Componentscitations
- 2020Development of an Additive Manufactured Artifact to Characterize Unfused Powder Using Computed Tomographycitations
- 2019The challenges in edge detection and porosity analysis for dissimilar materials additive manufactured components
- 2018Optimization of surface determination strategies to enhance detection of unfused powder in metal additive manufactured components
- 2018Development of an AM artefact to characterize unfused powder using computer tomography
- 2018Characterisation of powder-filled defects in additive manufactured surfaces using X-ray CT
- 2017The influence of hydroalcoholic media on the performance of Grewia polysaccharide in sustained release tabletscitations
- 2017Results from an interlaboratory comparison of areal surface texture parameter extraction from X-ray computed tomography of additively manufactured parts
- 2017Method for characterizing defects/porosity in additive manufactured components using computer tomography
- 2016Method for Characterization of Material Loss from Modular Head-Stem Taper Surfaces of Hip Replacement Devicescitations
- 2006The use of CMM techniques to assess the wear of total knee replacements
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document
The challenges in edge detection and porosity analysis for dissimilar materials additive manufactured components
Abstract
<p>AM is being recognized as a core technology for producing complex and customized components. Several AM machines can manufacture components using dissimilar materials which provides a substantial advantage by combining the mechanical properties of several materials in a single component. However, there are several challenges stopping the industry from widely utilizing AM in critical components. The mechanical properties of AM components are not well understood, furthermore nondestructive testing (NDT) and repeatability are not well established. X-ray computed tomography (XCT) is one of the most promising NDT methods that can detect porosity/defects and provide information regarding the position, location distribution and volume of any pores/defects. This paper presents a case study that highlights the challenges in edge detection and porosity analysis for AM manufactured components using dissimilar metallic materials. The artefact used in this experiment consists of two individual components built using Aluminium and Titanium powders that are then assembled together. The two components contain machined defect filled with unfused Titanium powder which prior to assembly were characterised using a focus variation microscope (Alicona G4) in order to determine the reference values for the diameter and depth of each defect. A Nikon XTH225 (Nikon Metrology, Tring) industrial XCT was used to analyse the pores/ defects’ location and size. The XCT data was reconstructed and the analysis for surface determination and defect analysis was carried out using VG Studio Max 3.1 (Volume Graphics, Heidelberg). The emphasis of the study is providing guidelines for selecting the inspection parameters, optimizing the surface determination to allow for porosity analysis and edge detection in dissimilar materials components built using in AM powder bed fusion (PBF).</p>