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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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Klingaa, Christopher Gottlieb
Danish Technological Institute
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2023Corrosion surface morphology-based methodology for fatigue assessment of offshore welded structurescitations
- 2022Evaluating the scalability of channels made by Binder Jetting and Laser Powder Bed Fusion using an X-ray CT and image analysis approach
- 2021Digital Twin of Additively Manufactured Components: Enabling Simulation-based Qualification
- 2021Towards a digital twin of laser powder bed fusion with a focus on gas flow variablescitations
- 2020Realistic design of laser powder bed fusion channelscitations
- 2020Characterization of channels made by laser powder bed fusion and binder jetting using X-ray CT and image analysiscitations
- 2020X-ray CT and image analysis methodology for local roughness characterization in cooling channels made by metal additive manufacturingcitations
- 2019Roughness Investigation of SLM Manufactured Conformal Cooling Channels Using X-ray Computed Tomography
- 2019Numerical Modelling of Heat Transfer using the 3D-ADI-DG Method - with Application for Pultrusion.
- 2019Build orientation effects on the roughness of SLM channels
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article
X-ray CT and image analysis methodology for local roughness characterization in cooling channels made by metal additive manufacturing
Abstract
The increasingly complex shapes and geometries being produced using additive manufacturing necessitate new characterization techniques that can address the corresponding challenges. Standard techniques for roughness and texture measurements are inept at characterizing the internal surfaces in freeform geometries. Hence, this work presents a new methodology for extracting and quantitatively characterizing the roughness on internal surfaces. The methodology links X-ray CT with complete roughness characterization of channels manufactured by laser powder bed fusion through a novel image analysis approach of X-ray CT data. Global and local orientation parameters are defined to enable a full 360° description of the roughness inside additively manufactured channels. X-ray CT data is analyzed to generate 3D deviation data – based on which multiple local roughness profiles are extracted and analyzed in accordance with the ISO 4287:1997 standard. To demonstrate the proposed methodology, seven circular 17-4 PH stainless steel channels produced at different inclinations and with a diameter of 2 mm are investigated as a case study. Qualitative and quantitative characterization of the roughness is obtained through the use of the proposed methodology. A strong dependence of the local roughness on the corresponding α and β orientations is found. A simple regression model is subsequently extracted from the calculated roughness values and allows prediction of Ra-values in the channels for the ranges between 0° ≤ α ≤ 90° and 80° ≤ β ≤ 280°. In addition to decreasing the effective hydraulic diameter of a cooling channel, the surface roughness also influences the local Nusselt number, which is quantified using the extracted regression model.