| 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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Yasa, Evren
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (24/24 displayed)
- 2024Understanding process parameter-induced variability for tailoring precipitation behavior, grain structure, and mechanical properties of Al-Mg-Si-Mn alloy during solid-state additive manufacturingcitations
- 2024Cleaning and coating procedures determine biological properties of gyroid porous titanium implants
- 2024Systematic review on additive friction stir deposition: materials, processes, monitoring and modellingcitations
- 2024Choosing between commercially pure titanium and Ti-6Al-4V gyroid structures for orthopedic applications:an analysis through Timoshenko beam theory, the Gibson-Ashby model and experimental methodscitations
- 2024Characterisation of materials properties and defects in structure fabricated via additive friction stir deposition
- 2024Choosing between commercially pure titanium and Ti-6Al-4V gyroid structures for orthopedic applicationscitations
- 2023Thin-Walled Commercially Pure Titanium Structures: Laser Powder Bed Fusion Process Parameter Optimizationcitations
- 2021The Laser Powder Bed Fusion Process Development of 17-4 PH Stainless Steels with Pulsed-Wave Lasers
- 2021Parametric simulations for residual stresses and distortions of inconel 625 fabricated by laser powder bed fusion additive manufacturing
- 2019Dimensional Accuracy and Mechanical Properties of Chopped Carbon Reinforced Polymers Produced by Material Extrusion Additive Manufacturingcitations
- 2018Additive Manufacturing of Polymer Matrix Compositescitations
- 2012Investigation on the inclusions in maraging steel produced by selective laser melting
- 2012Assessing and comparing influencing factors of residual stresses in selective laser melting using a novel analysis methodcitations
- 2012A preliminary investigation on selective laser melting of M2 high speed steel
- 2011The investigation of the influence of laser re-melting on density, surface quality and microstructure of selective laser melting parts
- 2010Microstructure and mechanical properties of maraging steel 300 after Selective Laser Melting
- 2010Part and material properties in selective laser melting of metals
- 2009Microstructure evolution of selective laser molten 316L stainless steel parts with laser re-melting
- 2009Improving Productivity Rate in SLM of Commercial Steel Powders
- 2009Experimental investigation of laser surface re-melting for the improvement of selective laser melting process
- 2009Investigation on occurrence of elevated edges in Selective Laser Melting
- 2009Rapid Manufacturing Research at the Catholic University of Leuven
- 2009An Experimental study of Process Parameters in Laser Marking
- 2009Experimental Investigation of Charpy Impact Tests on Metallic SLM parts
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article
Assessing and comparing influencing factors of residual stresses in selective laser melting using a novel analysis method
Abstract
<jats:p> During selective laser melting, the irradiated material experiences large temperature fluctuations in a short time which causes unwanted thermal stresses. In order to assess thermal stresses in a simple and fast way, a new pragmatic method is developed, namely the bridge curvature method. The bridge curvature method is used to assess and qualitatively compare the influence of different laser scan patterns, laser parameter settings and more fundamental process changes on residual stresses. The results from the experiments, as well as the findings from literature, lead to two general conclusions: changes that reduce the high temperature gradient, like using short scan vectors and preheating of the base plate, reduce the thermal stresses. And, thermal stresses in a particular direction can be reduced by optimal choice of the orientation of scan vectors. The experiments indicate the reliability of the bridge curvature method. Statistical analysis is used to check the repeatability of the method and to quantify the uncertainties during measurement. </jats:p>