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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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Bartsch, Katharina
Fraunhofer Research Institution for Additive Manufacturing Technologies IAPT
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2024Machine learning-assisted in-situ adaptive strategies for the control of defects and anomalies in metal additive manufacturingcitations
- 2023Removability of support structures in laser powder bed fusion of Ti-6Al-4V ; Entfernbarkeit von Stützstrukturen im pulverbettbasierten Laserstrahlschmelzen von Ti-6Al-4V
- 2023Numerical and experimental investigation of the geometry dependent layer-wise evolution of temperature during laser powder bed fusion of Ti–6Al–4V
- 2022Thermal conductivity of Ti-6Al-4V in laser powder bed fusion
- 2021Material modeling of Ti–6Al–4V alloy processed by laser powder bed fusion for application in macro-scale process simulation
- 2020Productivity optimization of laser powder bed fusion by hot isostatic pressing
- 2017Process monitoring of laser remote cutting of carbon fiber reinforced plastics by means of reflecting laser radiationcitations
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article
Material modeling of Ti–6Al–4V alloy processed by laser powder bed fusion for application in macro-scale process simulation
Abstract
In the laser powder bed fusion of metals (PBF-LB/M), process simulation is a key factor to the optimization of the manufacturing process with reasonable amounts of resources. While the focus of research lies on the development of approaches to solve the problem of length scales when comparing the laser spot to a parts dimension, the conscientious modeling of the material applied provides an opportunity to increase the accuracy of computational studies with no significant increase in required computational resources. Within this study, a material model of the commonly used Ti–6Al–4V alloy for the thermo-mechanical process simulation at macro- and part-scale is developed. Data reported in the literature as well as own experimental work is assembled to a model consisting of constant and linear functions covering the whole temperature interval relevant for PBF-LB/M. Also, possible influencing factors on both thermal and mechanical properties are investigated.