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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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Blunt, Liam
University of Huddersfield
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (23/23 displayed)
- 2024Trueness of vat-photopolymerization printing technology of interim fixed partial denture with different building orientationcitations
- 2022Reaction Sintering of Biocompatible Al2O3-hBN Ceramicscitations
- 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
- 2020Quantification of additive manufacturing induced variations in the global and local performance characteristics of a complex multi-stage control valve trimcitations
- 2019Introduction of a Surface Characterization Parameter Sdrprime for Analysis of Re-entrant Featurescitations
- 2019Hot-melt extrusion process impact on polymer choice of glyburide solid dispersionscitations
- 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
- 2018An interlaboratory comparison of X-ray computed tomography measurement for texture and dimensional characterisation of additively manufactured partscitations
- 2017Areal surface texture data extraction from X-ray computed tomography reconstructions of metal additively manufactured partscitations
- 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
- 2015Implementation of wavelength scanning interferometry for R2R flexible PV barrier films
- 2014Defect Detection in Thin-film Photovoltaics; Towards Improved Efficiency and Longevitycitations
- 2014Development of the basis for in process metrology for roll to roll production of flexible photo voltaics
- 2014An interferometric auto-focusing method for on-line defect assessment on a roll-to-roll process using wavelength scanning interferometry
- 2009Comparison of Type F2 Software Measurement Standards for Surface Texture
- 2006The use of CMM techniques to assess the wear of total knee replacements
Places of action
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article
Areal surface texture data extraction from X-ray computed tomography reconstructions of metal additively manufactured parts
Abstract
<p>Many applications that exploit the manufacturing flexibility of additive manufacturing (AM) produce surfaces, primarily internal features, which cannot be measured using conventional contact or line-of-sight optical methods. This paper evaluates the capability of a novel technique to extract areal surface data from micro-focus X-ray computed tomography (XCT) from AM components and then generate surface parameter data per ISO 25178-2. This non-destructive evaluation of internal features has potential advantages during AM product research and commercial production. The data extracted from XCT is compared with data extracted using a focus variation instrument. A reference dimensional artefact is included in all XCT measurements to evaluate XCT surface determination performance and dimensional scaling accuracy. Selected areal parameters generated using the extraction technique are compared, including Sa, for which the nominal difference between the value obtained using XCT and used the focus variation method was less than 2.5%.</p>