| 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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Sercombe, Tim
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (23/23 displayed)
- 2023On the importance of nano-oxide control in laser powder bed fusion manufactured Ni-based alloys to enhance fracture propertiescitations
- 2023Dynamic constitutive behavior of LPBFed metal alloyscitations
- 2022Bioactivity and biodegradability of high temperature sintered 58S ceramicscitations
- 2022High strain-rate response of additively manufactured light metal alloyscitations
- 2020The effect of drying method on the surface structure of mesoporous sol-gel derived bioactive glass-ceramiccitations
- 2018Mechanical behaviour of alginate-gelatin hydrogels for 3D bioprintingcitations
- 2017On the Breakdown of SiC during the Selective Laser Melting of Aluminum Matrix Compositescitations
- 2016A 3D printed superconducting aluminium microwave cavitycitations
- 2016Selective laser melting of Zr-based bulk metallic glassescitations
- 2016Selective laser melting of Al-12Si alloy: Enhanced densification via powder dryingcitations
- 2011Manufacture by selective laser melting and mechanical behavior of a biomedical Ti-24Nb-4Zr-8Sn alloycitations
- 2008Heat treatment of Ti-6Al-7Nb components produced by selective laser meltingcitations
- 2008Process repeatability and sources of error in indirect SLS of aluminiumcitations
- 2007The Effect of Particle Shape on the Sintering of Aluminumcitations
- 2006Process shrinkage and accuracy during indirect laser sintering of aluminiumcitations
- 2005Sintering of maraging steel with phosphorous additionscitations
- 2004On the role of magnesium and nitrogen in the infiltration of aluminium by aluminium for rapid prototyping applicationscitations
- 2004On the role of tin in the infiltration of aluminium by aluminium for rapid prototyping applicationscitations
- 2003Sintering of freeformed maraging steel with boron additionscitations
- 2003The effect of resin type on the sintering of freeformed maraging steelcitations
- 2003On the sintering of uncompacted, pre-alloyed Al powder alloyscitations
- 2003Rapid manufacturing of aluminum componentscitations
- 2001Liquid phase sintering of aluminium alloyscitations
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article
Dynamic constitutive behavior of LPBFed metal alloys
Abstract
<p>Laser powder bed fused (LPBFed) metal alloys, such as titanium, aluminium, and steel exhibit high specific strength and hold great potential for utilization in the automotive and aerospace sectors. Since automotive and aerospace structures require the materials to withstand dynamic impacts, accurately predicting the flow behavior of LPBF-based alloys under high strain rates becomes critical. In this paper, the dynamic behavior of LPBFed CPTi, AlSi10Mg, and 316L stainless steel under strain rates of approximately 500–3000 s<sup>−1</sup> was investigated using a Split Hopkinson Pressure Bar (SHPB). The study compared the stress-strain response and strain rate sensitivity of LPBFed alloys to those of conventionally produced counterparts. Furthermore, Johnson-Cook constitutive model was adopted to predict the flow behavior. The results showed that all alloys exhibit positive strain rate sensitivity under the tested strain rate range, with LPBFed CPTi demonstrating higher flow stress than conventionally built counterparts due to the fine grain size resulting from the additive manufacturing method. Additionally, differences in the performance of AlSi10Mg observed in this study, as compared to the literature, are attributed to differences in building direction and post-processing. Finally, it was demonstrated that the Johnson-Cook model accurately predicts flow behavior for the selected alloys with relatively low error.</p>