| 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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Strantza, Maria
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2024Direct mechanistic connection between acoustic signals and melt pool morphology during laser powder bed fusioncitations
- 2017Proof of Concept of Integrated Load Measurement in 3D Printed Structurescitations
- 2017Fatigue Performance of Ti-6Al-4V Additively Manufactured Specimens with Integrated Capillaries of an Embedded Structural Health Monitoring Systemcitations
- 2016Fatigue of Ti6Al4V Structural Health Monitoring Systems Produced by Selective Laser Meltingcitations
- 2016Assessment of eSHM system combining different NDT methods
- 2015Feasibility study on integrated structural health monitoring system produced by metal three-dimensional printingcitations
- 2015Acoustic emission monitoring of crack propagation in titanium samples
- 2015Damage characterization on human femur bone by means of ultrasonics and acoustic emissioncitations
- 2015Evaluation of Different Topologies of Integrated Capillaries in Effective Structural Health Monitoring System Produced by 3D Printingcitations
- 2014A combination of Additive Manufacturing Technologies and Structural Health Monitoring systems as an intelligent structure
- 2014Measurement of elastic wave dispersion on human femur tissuecitations
- 2014Wave Dispersion and Attenuation on Human Femur Tissue
- 20143D Printing for Intelligent Metallic Structures
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document
A combination of Additive Manufacturing Technologies and Structural Health Monitoring systems as an intelligent structure
Abstract
This work will present how new material processing methodologies of additive manufacturing can improve the effectiveness of a structural health monitoring system (SHM). Two different techniques, Selective Laser Melting and Layer wise Laser Cladding, and two different materials Ti6Al4V and AISI SS316L were used for the production of four point bending specimens with an integrated structural health monitoring system. A four point bending test was selected and the fatigue behaviour of stainless steel and titanium was studied with emphasis on crack detection and crack initiation. The objective of this work is to prove that the SHM system has reached technological readiness level 3 and to indicate that during fatigue tests the integrated SHM system had no influence on the crack initiation behaviour. The specimens were subjected to the so-called step test method with constant fatigue stress amplitude and a constant R ratio in each step.