| 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
Spectroscopic monitoring and melt pool temperature estimation 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 excellent material properties, it is necessary to understand the thermal behaviour of the process better and to monitor and control the process. One of the critical parameters in this process is the measurement of the melt pool temperature and its distribution. The varying emissivity in space and time for the melt pool forms a fundamental physical problem. This also prevents a correct temperature measurement of the melt pool temperature distribution with a thermal camera. The usage of the spectral information within the emitted light of the melt pool can form a key enabling element in the estimation of the emissivity and as such reveal the temperature information. In the future this information can be used in a controlling system in order to prevent excessive heat transfer towards the substrate and to reduce the amount of the residual stress. Another key criterion for the additive manufacturing process is the prevention of oxidation of the deposited layers in order to eliminate the formation of brittle zones within the components. The appearance of specific discrete spectral lines can reveal essential information of the stability of the process such as oxidation. In this paper an optical setup with an optical spectrometer will be described for the measurement of the radiated spectrum ranging from 400nm up to 850nm. The spectra were obtained during the laser metal deposition process of the stainless steel (316L). The measured spectroscopic data of different locations on the melt pool surface will be presented and explored in this paper. Based on the measured spectra different temperature estimation algorithms will be presented and evaluated. The appearance of specific discrete spectral lines will also be examined.