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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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Popovich, Vera
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (27/27 displayed)
- 2024Correlation between microstructural inhomogeneity and architectural design in additively manufactured NiTi shape memory alloyscitations
- 2023Microstructure-based cleavage modelling to study grain size refinement and simulated heat affected zones of S690 high strength steel
- 2023Corrosion and passive film characteristics of 3D-printed NiTi shape memory alloys in artificial salivacitations
- 2023Healing cracks in additively manufactured NiTi shape memory alloyscitations
- 2023Effect of heat treatment on microstructure and functional properties of additively manufactured NiTi shape memory alloyscitations
- 2023Superelastic response and damping behavior of additively manufactured Nitinol architectured materialscitations
- 2023Passive film formation and corrosion resistance of laser-powder bed fusion fabricated NiTi shape memory alloyscitations
- 2023Achieving superelasticity in additively manufactured Ni-lean NiTi by crystallographic designcitations
- 2023Study of Phase-transformation Behavior in Additive Manufacturing of Nitinol Shape Memory Alloys by In Situ TEM Heating
- 2023Study of Phase-transformation Behavior in Additive Manufacturing of Nitinol Shape Memory Alloys by In Situ TEM Heating
- 2023Directed energy deposition of Invar 36 alloy using cold wire pulsed gas tungsten arc weldingcitations
- 2023Microstructure-based cleavage parameters in bainitic, martensitic, and ferritic steelscitations
- 2022Microstructure-informed statistical modelling of cleavage fracture in high strength steels considering through-thickness inhomogeneitiescitations
- 2022A comprehensive quantitative characterisation of the multiphase microstructure of a thick-section high strength steelcitations
- 2022Additive manufacturing of functionally graded inconel 718citations
- 2022Combined effects of stress and temperature on hydrogen diffusion in non-hydride forming alloys applied in gas turbinescitations
- 2022Cleavage fracture micromechanisms in thick-section quenched and tempered S690 high-strength steelscitations
- 2021Relating matrix stress to local stress on a hard microstructural inclusion for understanding cleavage fracture in high strength steelcitations
- 2021Effect of microstructure induced anisotropy on fatigue behaviour of functionally graded Inconel 718 fabricated by additive manufacturingcitations
- 2021Additive Manufacturing and Spark Plasma Sintering of Lunar Regolith for Functionally Graded Materialscitations
- 2021Hydrogen diffusion under the effect of stress and temperature gradients
- 2021Predictive analytical modelling and experimental validation of processing maps in additive manufacturing of nitinol alloyscitations
- 2020Effect of microstructure on cleavage fracture of thick-section quenched and tempered S690 high-strength steelcitations
- 2020A review of NiTi shape memory alloy as a smart material produced by additive manufacturingcitations
- 2020Selective laser melting of Inconel 718 under high laser powercitations
- 2020Additive manufacturing of Ti-48Al-2Cr-2Nb alloy using gas atomized and mechanically alloyed plasma spheroidized powderscitations
- 2019Recent developments and challenges of cleavage fracture modelling in steelscitations
Places of action
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article
Predictive analytical modelling and experimental validation of processing maps in additive manufacturing of nitinol alloys
Abstract
Nitinol (NiTi) shape memory alloys fabricated by Laser Powder Bed Fusion (L-PBF) Additive Manufacturing (AM) have attracted much attention in recent years, as compared with conventional manufacturing processes it allows to produce Nitinol parts with high design complexity. Avoidance of defects during L-PBF is crucial for the production of high quality Nitinol parts. In this study, analytical models predicting melt pool dimensions and defect formation criteria were synergistically used to develop processing maps demonstrating boundary conditions for the formation of such defects, as balling, keyhole-induced pores, and lack of fusion. Experimental validation has demonstrated that this method can provide an accurate estimation and guide manufacturability of defect-free Nitinol alloys. Moreover, the crack formation phenomena were experimentally analysed, which showed that a low linear energy density (E l ) should be chosen to avoid cracks in the optimized process windows. Based on model predictions and experimental calibrations, Nitinol samples with a relative density of more than 99% were successfully fabricated. ; Team Vera Popovich ; Team Marcel Hermans