| 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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Devesse, Wim
Vrije Universiteit Brussel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2020Spatial distributed spectroscopic monitoring of melt pool and vapor plume during the laser metal deposition processcitations
- 2020Comparison of visual and hyperspectral monitoring of the melt pool during Laser Metal Deposition
- 2019Hyperspectral and Thermal Temperature Estimation During Laser Claddingcitations
- 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
- 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
- 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
- 2015Hardware-in-the-loop control of additive manufacturing processes using temperature feedback
- 2015Spectroscopic monitoring and melt pool temperature estimation during the laser metal deposition process
- 2014Modeling of laser beam and powder flow interaction in laser cladding using ray-tracing
Places of action
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article
Hardware-in-the-loop control of additive manufacturing processes using temperature feedback
Abstract
Laser-based additive manufacturing is a technology for the production of freeform metallic parts. In order to produce parts with high quality, it is important for the manufacturing processes to be controllable with a high degree of precision. Current additive manufacturing systems attempt to reach this goal by carefully tuning the operational parameters, often in combination with a feedback control system. These systems are based on low order, empirical models of the process, which may limit the performance that can be achieved. This paper introduces a control system based on a high order physical heat conduction model of the melt pool dynamics. The control system serves as a framework which can be applied to many laser material processes in which high precision is required, such as laser cladding and selective laser melting. The controller is able to regulate the melt pool size by modulating the laser power using a number of surface temperature measurements as the feedback signal. A hardware-in-the-loop (HIL) system was built to enable safe and cost-effective testing of the controller hardware in different simulation environments. The HIL setup includes a real-time image processing module for extracting the required temperature information from hyperspectral data generated by detailed numerical simulations of the melt pool dynamics. Hyperspectral measurements are performed on a laser cladding system to validate the simulation results.