| 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
Challenges in Inspecting Internal Features for SLM Additive Manufactured Build Artifacts
Abstract
Additive manufacturing (AM) is a process where the component is built layer by layer using powder or wire precursors. AM is a new and developing technology offering advantages over conventional subtractive machining in terms of design optimization and weight reduction and enabling the creation of complex internal and external features that are impossible to achieve with conventional subtractive machining. AM technologies continue to be the subject of rapid development and, consequently, the geometrical repeatability and mechanical properties of AM parts are still the subject of research. X-ray computed tomography (XCT) is a nondestructive inspection method that can be utilized in characterizing and measuring the internal defects/features of metallic AM components and is becoming the go-to tool for AM metrology. This paper presents several challenges associated with the inspection of the internal features and defects. The parts utilized in the present study were a 10-mm aluminum (AlSi10Mg) AM artifact/sample manufactured using a Renishaw AM250 (Renishaw, UK) selective laser melting (SLM) AM system. The sample contains several “designed-in” internal features, varying in size from 50 µm to 1 mm, and located between 50 µm and 5 mm from the outer surfaces of the component. The features were designed as geometric features (spheres, cylinders, prisms, and helical prisms). A Nikon XTH 225 (Nikon Tring, UK) industrial XCT was used to analyze the internal features' location, form, and volume. The results from the XCT were compared to the prebuild slicing software to attempt to identify the cause of the variation from design. The sample was then physically sectioned to confirm the actual variation of the features from the design intent. After sectioning, the defects were characterized/verified using an Alicona G4 (Alicona, Graz) focus variation instrument. Data processing, surface determination processes, and defect analysis were carried out using VG Studio Max 3.1 (Volume Graphics, Heidelberg). The focus of this study is on identifying the limitations in designing, building, and characterizing micro internal features in AM SLM components.