| 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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Baere, Dieter De
Vrije Universiteit Brussel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (26/26 displayed)
- 2023Experimental evaluation of the metal powder particle flow on the melt pool during directed energy depositioncitations
- 2023Comparison and Analysis of Hyperspectral Temperature Data in Directed Energy Depositioncitations
- 2020Spatial distributed spectroscopic monitoring of melt pool and vapor plume during the laser metal deposition processcitations
- 2019Hyperspectral and Thermal Temperature Estimation During Laser Claddingcitations
- 2019Analytical Modeling of Embedded Load Sensing Using Liquid-Filled Capillaries Integrated by Metal Additive Manufacturingcitations
- 2019On the Influence of Capillary-Based Structural Health Monitoring on Fatigue Crack Initiation and Propagation in Straight Lugscitations
- 2018Fatigue performance of powder bed fused Ti-6Al-4V component with integrated chemically etched capillary for structural health monitoring application.citations
- 2018Effective Structural Health Monitoring through the Monitoring of Pressurized Capillaries in Additive Manufactured Materials
- 2017Effect of Surface Roughness on Fatigue Crack Initiation in Additive Manufactured components with Integrated Capillary for SHM Application
- 2017Proof of Concept of Integrated Load Measurement in 3D Printed Structurescitations
- 2017Model-based temperature feedback control of laser cladding using high-resolution hyperspectral imagingcitations
- 2017Fatigue Performance of Ti-6Al-4V Additively Manufactured Specimens with Integrated Capillaries of an Embedded Structural Health Monitoring Systemcitations
- 2016Hardware-in-the-loop control of additive manufacturing processes using temperature feedbackcitations
- 2016Fatigue of Ti6Al4V Structural Health Monitoring Systems Produced by Selective Laser Meltingcitations
- 2016Spectroscopic monitoring and melt pool temperature estimation during the laser metal deposition processcitations
- 2016Evaluation of the Diffuse Reflectivity Behaviour of the Melt Pool During the Laser Metal Deposition Process
- 2016Assessment of eSHM system combining different NDT methods
- 2016Temperature Feedback Control of Laser Cladding Using High Resolution Hyperspectral Imaging
- 2015Modeling of laser beam and powder flow interaction in laser cladding using ray-tracingcitations
- 2015Feasibility study on integrated structural health monitoring system produced by metal three-dimensional printingcitations
- 2015Hardware-in-the-loop control of additive manufacturing processes using temperature feedback
- 2015Acoustic emission monitoring of crack propagation in titanium samples
- 2015Spectroscopic monitoring and melt pool temperature estimation during the laser metal deposition process
- 2014A combination of Additive Manufacturing Technologies and Structural Health Monitoring systems as an intelligent structure
- 2014Modeling of laser beam and powder flow interaction in laser cladding using ray-tracing
- 2007Structural Health Monitoring of Slat Tracks using transient ultrasonic waves
Places of action
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article
Hyperspectral and Thermal Temperature Estimation During Laser Cladding
Abstract
Although there is no doubt about the tremendous industrial potential of metal additive manufacturing techniques such as laser metal deposition, the technology still has some intrinsic quality challenges to overcome before reaching its industrial maturity. Noncontact in situ monitoring of the temperature evolution of the workpiece could provide the necessary information to implement an automated closed-loop process control system and optimize the manufacturing process, providing a robust solution to these issues. However, measuring absolute temperatures is not self-evident: wavelength-dependent emissivity values vary between solid, liquid, and mushy metallic regions, requiring spectral information and dedicated postprocessing to relate the amount of emitted infrared radiation to the material temperature. This paper compares the temperature estimation results obtained from a visible and near-infrared hyperspectral line camera and a conventional short-wave infrared (SWIR) thermal camera during the laser melting and cladding of a 316L steel sample. Both methods show agreeing results for the temperature distribution inside the melt pool, with the SWIR camera extending the temperature measurements beyond the melt pool boundaries into the solid region.