Abstract
This paper introduces a novel model to predict ice accretion in glaze ice conditions due to supercooled water droplets. Glaze icing is controlled by a large number of interacting physical phenomena. The purpose of the suggested model was to offer a faster alternative to explicitly modelling these phenomena. The paper presents the suggested model and investigates the sensitivity of the predictions on the model parameters for three experimental cases in the
literature. The results indicate a qualitatively correct behaviour. Quantitatively, the model over-predicts the amount of accreted ice, the error being significantly larger in severe icing conditions. The errors are caused partly by the choice of faster numerical approaches and by the lack of possibility to account for
detaching ice from the surface.
literature. The results indicate a qualitatively correct behaviour. Quantitatively, the model over-predicts the amount of accreted ice, the error being significantly larger in severe icing conditions. The errors are caused partly by the choice of faster numerical approaches and by the lack of possibility to account for
detaching ice from the surface.
| Original language | English |
|---|---|
| Title of host publication | Conference proceedings of CMFF’22 |
| Editors | János Vad |
| Publisher | Budapest University of Technology and Economics |
| Pages | 136-143 |
| ISBN (Electronic) | 978-963-421-881-4 |
| Publication status | Published - 2022 |
| Event | Conference on Modelling Fluid Flow (CMFF’22) - Budapest, Hungary Duration: 2022 Aug 30 → 2022 Sept 2 |
Conference
| Conference | Conference on Modelling Fluid Flow (CMFF’22) |
|---|---|
| Country/Territory | Hungary |
| City | Budapest |
| Period | 2022/08/30 → 2022/09/02 |
Subject classification (UKÄ)
- Applied Mechanics