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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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document
Results from an interlaboratory comparison of areal surface texture parameter extraction from X-ray computed tomography of additively manufactured parts
Abstract
This paper presents the results of the CT-STARR (CT-Surface Texture for Additive Round Robin) interlaboratory comparison. The study compares the results obtained for the extraction of areal surface texture data per ISO 25178-2 from five X-ray computed tomography (XCT) volume measurements from each of four laboratories. To reduce the number of process variables, all participants utilise a Nikon XCT machine, either an XT H 225 industrial CT or an MCT225 metrology CT. Measurement process parameters, such as physical X-ray filtering, acceleration voltage and filament current, are set at similar values for all machines. All data processing and computation to extract, align, crop, filter and generate surface texture parameter information and deviation analysis results from the measurement volumes is performed by one participant. Two Ti6Al4V ELI (extra low interstitial) components are included in each of the XCT acquisitions. The first component is an additively manufactured cube built on an Arcam Q10 electron beam melting machine. Surface texture data is extracted from XCT scans of this part. The second component is a machined artefact designed for XCT scaling and surface determination analysis and verification. The data extracted from XCT measurements of these components is compared with measurements from coordinate measuring machine, focus variation and stylus instruments. The effect of scaling correction and XCT surface determination on extracted surface texture data, as well as measurement repeatability and reproducibility, are discussed.