| 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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Hinderdael, Michaël
Vrije Universiteit Brussel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2023Experimental evaluation of the metal powder particle flow on the melt pool during directed energy depositioncitations
- 2023Measuring and Predicting the Effects of Residual Stresses from Full-Field Data in Laser-Directed Energy Depositioncitations
- 2023Comparison and Analysis of Hyperspectral Temperature Data in Directed Energy Depositioncitations
- 2022Experimental identification of process dynamics for real-time control of directed energy 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
- 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
- 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
- 2016Evaluation of the Diffuse Reflectivity Behaviour of the Melt Pool During the Laser Metal Deposition Process
- 2016Temperature Feedback Control of Laser Cladding Using High Resolution Hyperspectral Imaging
- 2015Hardware-in-the-loop control of additive manufacturing processes using temperature feedback
Places of action
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document
Temperature Feedback Control of Laser Cladding Using High Resolution Hyperspectral Imaging
Abstract
Laser cladding is a technique that is frequently used for the coating and repair of metallic components. This technology can also be found in the additive manufacturing domain where it is more commonly known as direct metal deposition. The creation of freeform metallic parts using laser cladding is a promising area of research, with a lot of attention dedicated to the optimization of the process parameters and to automatic control strategies. A critical aspect of such feedback control systems is the accuracy of the sensor used for monitoring the process. This paper presents a feedback control scheme in which a hyperspectral camera is used to provide high resolution temperature information about the melt pool. A PI controller actuates the laser based on the measured temperature profile in order to maintain a constant melt pool size. Improved noise rejection properties are obtained by adding a model-based state observer to the control loop. The performance of the controller is evaluated by creating tracks with varying thicknesses on a base plate of AISI 316L stainless steel. Comparison of the on-line temperature measurements with off-line images of the tracks show that the measurements correspond very well to the true temperature profiles that were present during the process. As a result, the experiments demonstrate that the controller is able to successfully follow a given melt pool size reference with high precision.