Continuous deposits on metallic pipe walls are a worldwide problem in highly industrial plants. They cause gradual blockage that can only be eliminated by complex, cost-intensive maintenance and cleaning processes. Too late maintenance results in poor product quality, prolonged loss of operation and earnings or even in sustainable damage to the plant.
The project detect.it focuseds on the development of a novel, model-based measurement method for distributed temperature measurement in high temperature applications based on FIMT technology (Fiber in Metall Tube). One major goal was to study the influence of sensor coatings and deposits in and on pipe walls in order to improve process monitoring. On the other hand, deposits themselves can be detected to further schedule and optimize maintenance intervals. In contrast to common punctual measurements, the novel glass-fibre-based methods provide fine spatial temperature distributions with high temperature resolution.
Within the project measurement methods and innovative coatings have been investigated thoroughly. Based on the outcomes, a model-based measuring method has been developed that takes spurious influences such as the non-ideal thermal coupling of the thermal sensors to the pipes into account and provides associated correction factors. Furthermore, a concept for the detection of pipe deposits was setup.
Applications can be found in many industries such as processes industry, e-fuel production or in the production of alternative energies (e.g. wood chip combustion).The developed methods can help to increase process efficiency and the quality of the product. Furthermore, heating and CO2 demand can be reduced in thermally controlled processes.
**The project detect.it is partially co-funded by the European Commission under the European Regional Development Fund (www.efre.gv.at) according to article 4 ERDF and the county of Lower Austria (www.noe.gv.at).
Details
| Duration | 01/04/2019 - 30/09/2022 |
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| Funding | Bundesländer (inkl. deren Stiftungen und Einrichtungen) |
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| Department | |
| Principle investigator for the project (University for Continuing Education Krems) | Priv.-Doz.Dipl.-Ing.Dr. Thilo Sauter |
Publications
Talic, A.; Cerimovic, S.; Beigelbeck, R.; KOhl, F.; Sauter, T.; Keplinger, F. (2023). The Impact of Surface Discontinuities on MEMS Thermal Wind Sensor Accuracy. MDPI Sensors, vol. 23, iss. 10: https://doi.org/10.3390/s23104575
Sauter, T.; Cerimovic, S.; Treytl, A.; Mehofer, F.; Schober, E.; Rinsche, S. (2022). Use of Data Analytics to Detect Loose Temperature Sensors in Harsh Environments. In: IEEE, 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE): 982-985, IEEE, Anchorage
Cerimovic, S.; Sauter, T.; Treytl, A.; Stachl, R.; Binder, J.; Basic, P.; Mehofer, F.; Schober, E.; Rinsche, S. (2021). Optimal Placement of Fiber Optic Sensors for Deposit Growth Monitoring in Process Furnaces. In: IEEE, Proceedings of IEEE 30th International Symposium on Industrial Electronics (ISIE): 10.1109/ISIE45552.2021.9576302, IEEE, Kyoto, Japan
Cerimovic, S.; Sauter, T.; Treytl, A.; Stachl, R.; Binder, J.; Basic, P.; Mehofer, F.; Schober, E.; Rinsche, S. (2020). Measuring Temperature Distributions along Heat Exchanger Pipes in Petrochemical Processes. In: IEEE, Proceedings of 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2020): 1347-1350, IEEE, Wien
Lectures
Use of Data Analytics to Detect Loose Temperature Sensors in Harsh Environments
ISIE 2022, 03/06/2022
Optimal Placement of Fiber Optic Sensors for Deposit Growth Monitoring in Process Furnaces
IEEE 30th International Symposium on Industrial Electronics (ISIE), 21/06/2021
Measuring Temperature Distributions along Heat Exchanger Pipes in Petrochemical Processes
25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2020), 10/09/2020
Team
Projektpartner
NBG Fiber Optics GmbH