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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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Spierings, Adriaan
Alfsen og Gunderson (Norway)
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2022A Machine-Learning-Based Approach to Critical Geometrical Feature Identification and Segmentation in Additive Manufacturingcitations
- 2021Direct part density inspection in laser powder bed fusion using eddy current testing
- 2020In Situ and Ex Situ Characterization of the Microstructure Formation in Ni-Cr-Si Alloys during Rapid Solidification—Toward Alloy Design for Laser Additive Manufacturingcitations
- 2018Microstructure characterization of SLM-processed Al-Mg-Sc-Zr alloy in the heat treated and HIPed conditioncitations
- 2017Added value of additive manufacturing for advanced composite structures
- 2017Integrating fiber Fabry-Perot cavity sensor into 3-D printed metal components for extreme high-temperature monitoring applicationscitations
- 2016High performance sheet metal forming tooling by additive manufacturing ; Hochleistungs-Blechumform-Werkzeuge durch additive Fertigung
- 2016Microstructure and mechanical properties of as-processed Scandium-modified aluminium using Selective Laser Meltingcitations
- 2016Mikrostrukturelle Ausscheidungen bei Sc- und Zr- modifizierten AlMg-Legierungen prozessiert mit SLM
- 2016SLM processing of 14 Ni (200 Grade) maraging steel ; SLM Verarbeitung von Marlok Werkzeugstahl
- 2015Powder flowability characterisation methodology for powder-bed-based metal additive manufacturingcitations
- 2015Processing of ODS modified IN625 using Selective Laser Melting
- 2012Production of functional parts using SLM – Opportunities and limitations
- 2011Influence of the particle size distribution on surface quality and mechanical properties in additive manufactured stainless steel parts
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document
Direct part density inspection in laser powder bed fusion using eddy current testing
Abstract
The direct qualification of additively manufactured (AM) metal components fabricated by laser powder bed fusion (LPBF), or the certification of the corresponding AM processes, remains a challenge due to the many influencing parameters, and process-inherent variability. Hence, components lack consistent quality regarding dimensional accuracy, surface quality, and material integrity, since internal defects such as pores and cracks are typical characteristics of such components. Different sensing technologies such as melt-pool monitoring are considered for in-process material integrity assessment, and for process control. However, although melt-pool monitoring provides process related information on the laser-material interaction such as melt-pool temperature and size, it does only indirectly provide sufficient information on the quality and integrity of the layer-wise generated material. Eddy current testing (ECT) is a well-established NDT technique for part quality inspection in many industries, and specifically suited to detect near-surface material defects such as e.g. cracks. This characteristic makes ECT a promising monitoring technology for the layer-wise monitoring of material quality in AM processes. Its integration into a LPBF-machine allows to generate direct material integrity data while the layer-wise acquisition offers potentials to monitor the individual part quality over a full build process, minimizing thereby post-process quality assessment measures. The basic feasibility of an ECT system to directly measure part density demonstrated, using LPBF processed SS316L samples with different densities