A Hybrid Modelling of a Water and Air Injector in a Subsonic Icing Wind Tunnel

The study of droplet generation in wind tunnels in conducting icing experiments is of great importance in determining ice formation on structures or surfaces, where parameters such as Liquid Water Content (LWC) and Median Volumetric Diameter (MVD) play a relevant role. The measurement of these param...

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Bibliographic Details
Published in:arXiv.org 2024-06
Main Authors: Hernández-Hernández, César, Chevet, Thomas, Rihab el Houda Thabet, Langlois, Nicolas
Format: Article
Language:English
Subjects:
First principles
Ice formation
Icing wind tunnels
Machine learning
Moisture content
Neural networks
Parameters
Regression analysis
Subsonic wind tunnels
Subsystems
Water
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Summary:The study of droplet generation in wind tunnels in conducting icing experiments is of great importance in determining ice formation on structures or surfaces, where parameters such as Liquid Water Content (LWC) and Median Volumetric Diameter (MVD) play a relevant role. The measurement of these parameters requires specialised instrumentation. In this paper, several experiments have been carried out in a subsonic wind tunnel facility to study the parameters that are part of the icing process in structures. Furthermore, a mathematical modelling of the constituent subsystems of the plant study that allow us to have a comprehensive understanding of the behaviour of the system is developed using techniques based on first principles and machine learning techniques such as regression trees and neural networks. The simulation results show that the implementation of the model manages to obtain prominent expected values of LWC and MVD within the range of values obtained in the real experimental data.
ISSN:2331-8422