| 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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Gustmann, Tobias
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2024Exploring the oxidation behavior of undiluted and diluted iron particles for energy storage: Mössbauer spectroscopic analysis and kinetic modeling
- 2023Characterization of Filigree Additively Manufactured NiTi Structures Using Micro Tomography and Micromechanical Testing for Metamaterial Material Modelscitations
- 2023Achieving exceptional wear resistance in a crack-free high-carbon tool steel fabricated by laser powder bed fusion without pre-heatingcitations
- 2022Controlling the Young’s modulus of a ß-type Ti-Nb alloy via strong texturing by LPBFcitations
- 2022Additively manufactured AlSi10Mg lattices – Potential and limits of modelling as-designed structurescitations
- 2022Additive Manufacturing of Binary Ni–Ti Shape Memory Alloys Using Electron Beam Powder Bed Fusion: Functional Reversibility Through Minor Alloy Modification and Carbide Formationcitations
- 2022Additive Manufacturing of Binary Ni–Ti Shape Memory Alloys Using Electron Beam Powder Bed Fusion: Functional Reversibility Through Minor Alloy Modification and Carbide Formation
- 2022Additive Manufacturing of Binary Ni–Ti Shape Memory Alloys Using Electron Beam Powder Bed Fusion: Functional Reversibility Through Minor Alloy Modification and Carbide Formation
- 2022In situ detection of cracks during laser powder bed fusion using acoustic emission monitoringcitations
- 2022Designing the microstructural constituents of an additively manufactured near β Ti alloy for an enhanced mechanical and corrosion responsecitations
- 2021Laser Powder Bed Fusion Processing of Fe-Mn-Al-Ni Shape Memory Alloy - On the Effect of Elevated Platform Temperatures
- 2021Laser Powder Bed Fusion Processing of Fe-Mn-Al-Ni Shape Memory Alloy—On the Effect of Elevated Platform Temperaturescitations
- 2021Development and characterization of a metastable Al-Mn-Ce alloy produced by laser powder bed fusion
- 2020Processing a biocompatible Ti-35Nb-7Zr-5Ta alloy by selective laser meltingcitations
- 2019Influence of substrate plate heating on the properties of an additively manufactured Cu-Al-Ni-Mn shape-memory alloy ; Einfluss einer Substratheizung auf die Eigenschaften einer additiv hergestellten Cu-Al-Ni-Mn Formgedächtnislegierung
- 2019Selective laser melting of Cu-based shape memory alloys
- 2018Microstructural characterization of a laser surface remelted Cu-based shape memory alloycitations
- 2018Enhancing the life cycle behaviour of Cu-Al-Ni shape memory alloy bimorph by Mn additioncitations
- 2018Laser beam melting for added value in tooling applications ; Mehrwert durch Laserstrahlschmelzen im Werkzeugbau
- 2015Phase formation, thermal stability and mechanical properties of a Cu-Al-Ni-Mn shape memory alloy prepared by selective laser meltingcitations
Places of action
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article
In situ detection of cracks during laser powder bed fusion using acoustic emission monitoring
Abstract
Despite rapid development of laser powder bed fusion (L-PBF) and its monitoring techniques, there is still a lack of in situ crack detection methods, among which acoustic emission (AE) is one of the most sensitive. To elaborate on this topic, in situ AE monitoring was applied to L-PBF manufacturing of a high-strength Al92Mn6Ce2 (at. %) alloy and combined with subsequent X-ray computed tomography. By using a structure borne high-frequency sensor, even a simple threshold-based monitoring was able to detect AE activity associated with cracking, which occurred not only during L-PBF itself, but also after the build job was completed, i.e. in the cooling phase. AE data analysis revealed that crack-related signals can easily be separated from the background noise (e.g. inert gas circulation pump) through their specific shape of a waveform, as well as their energy, skewness and kurtosis. Thus, AE was verified to be a promising method for L-PBF monitoring, enabling to detect formation of cracks regardless of their spatial and temporal occurrence. ; publishedVersion