| 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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Guillaume, Patrick
Vrije Universiteit Brussel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (40/40 displayed)
- 2023Comparison and Analysis of Hyperspectral Temperature Data in Directed Energy Depositioncitations
- 2022Experimental identification of process dynamics for real-time control of directed energy depositioncitations
- 2022FPGA-based visual melt-pool monitoring with pyrometer correlation for geometry and temperature measurement during Laser Metal Depositioncitations
- 2022Powder-Gas Jet Velocity Characterization during Coaxial Directed Energy Deposition Processcitations
- 2021Structural health monitoring through surface acoustic wave inspection deployed on capillaries embedded in additively manufactured components
- 2021Process parameter study for enhancement of directed energy deposition powder efficiency based on single-track geometry evaluationcitations
- 2021Production Assessment of Hybrid Directed Energy Deposition Manufactured Sample with Integrated Effective Structural Health Monitoring channel (eSHM)citations
- 2020Spatial distributed spectroscopic monitoring of melt pool and vapor plume during the laser metal deposition processcitations
- 2020MiCLAD as a platform for real-time monitoring and machine learning in laser metal depositioncitations
- 2020Microstructure and corrosion behavior of 316L stainless steel prepared using different additive manufacturing methodscitations
- 2020Comparison of visual and hyperspectral monitoring of the melt pool during Laser Metal Deposition
- 2020Offline powder-gas nozzle jet characterization for coaxial laser-based Directed Energy Depositioncitations
- 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
- 2019Directional and oscillating residual stress on the mesoscale in additively manufactured Ti-6Al-4Vcitations
- 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
- 2016Experimental Investigation of Bearing Slip in a Wind Turbine Gearbox During a Transient Grid Loss Eventcitations
- 2016Fatigue of Ti6Al4V Structural Health Monitoring Systems Produced by Selective Laser Meltingcitations
- 2016Experimental dynamic identification of modeshape driving wind turbine grid loss event on nacelle testrigcitations
- 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
- 2016Reconstruction of impacts on a composite plate using fiber Bragg gratings (FBG) and inverse methodscitations
- 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
- 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
- 2014Modeling of laser beam and powder flow interaction in laser cladding using ray-tracing
- 20143D Printing for Intelligent Metallic Structures
Places of action
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document
Evaluation of the Diffuse Reflectivity Behaviour of the Melt Pool During the Laser Metal Deposition Process
Abstract
Laser metal deposition is an additive manufacturing process that allows the production of near net shape structures. Moreover the process can also be applied for the addition of material to an existing component for repair. In order to obtain structures with reproducible and accurate geometrical dimensions, it is necessary to understand the geometrical melt pool behaviour of the process better and to monitor and control the process. One of the critical parameters in this process is the wetting angle and the interfacial free energies of the melt pool. The varying specular reflectivity in space and time of the melt pool surface forms a technical challenge for the measurement of the 3D shape of the melt pool. This prevents the implementation of a straight forward laser triangulation approach. The specular behavior also forms a problem for a standard stereo vision solution due to the fact that there are not enough points that can be recognized on the melt pool surface. The usage of higher illumination laser power and the evaluation of the small diffuse reflectivity of the melt pool can form a key enabling element in the measurement of the 3D shape of the melt pool surface. In the future this information can be used to develop a measurement system for a controlling system in order to prevent excessive dilution, heat transfer towards the substrate and to reduce the amount of residual stress. In this paper an optical setup with a high speed camera and specific illumination system will be described for the evaluation of the diffuse reflectivity behaviour. The images were obtained during the laser metal deposition process of stainless steel (316L). The measured diffuse reflectivity behavior of different locations on the melt pool surface will be presented and explored in order to evaluate different approaches in the future to define the 3D shape of the melt pool.