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Part 1: Document Description
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Citation |
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Title: |
Background Data for: "UAV Icing: Numerical Simulations of Electrothermal Wing De-icing with Shedding Prediction" |
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Identification Number: |
doi:10.18710/OAY9A2 |
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Distributor: |
DataverseNO |
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Date of Distribution: |
2026-02-26 |
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Version: |
2 |
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Bibliographic Citation: |
Wallisch, Joachim; Hann, Richard, 2026, "Background Data for: "UAV Icing: Numerical Simulations of Electrothermal Wing De-icing with Shedding Prediction"", https://doi.org/10.18710/OAY9A2, DataverseNO, V2 |
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Citation |
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Title: |
Background Data for: "UAV Icing: Numerical Simulations of Electrothermal Wing De-icing with Shedding Prediction" |
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Identification Number: |
doi:10.18710/OAY9A2 |
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Authoring Entity: |
Wallisch, Joachim (NTNU – Norwegian University of Science and Technology) |
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Hann, Richard (https://ror.org/05xg72x27) |
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Other identifications and acknowledgements: |
Hann, Richard |
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Producer: |
NTNU – Norwegian University of Science and Technology |
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Software used in Production: |
Fidelity Pointwise |
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Software used in Production: |
Ansys FENSAP-ICE |
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Grant Number: |
316425 |
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Grant Number: |
350469 |
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Grant Number: |
318000 |
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Distributor: |
DataverseNO |
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Distributor: |
NTNU – Norwegian University of Science and Technology |
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Access Authority: |
Joachim Wallisch |
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Access Authority: |
Richard Hann |
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Depositor: |
Wallisch, Joachim |
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Date of Deposit: |
2026-02-25 |
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Date of Distribution: |
2026-02-25 |
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Holdings Information: |
https://doi.org/10.18710/OAY9A2 |
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Study Scope |
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Keywords: |
Engineering, icing, computational fluid dynamics (CFD), numerical simulations, icing wind tunnel, unmanned aerial vehicle (UAV), drone, de-icing, ice protection system |
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Abstract: |
This dataset contains the summarized simulation results used in the paper "UAV Icing: Numerical Simulations of Electrothermal Wing De-icing with Shedding Prediction". The aim of the paper is to numerically predict ice shedding from a wing with an electrothermal de-icing system. Based on experimental results, shedding is modeled when 76% of the interface ice-structure have melted. Using this threshold and comparing different de-icing heat fluxes, the datasets contains the required heating time and energy for the ice protection system. A Python code was used to process the raw simulation data. The code can be found under https://git.ntnu.no/joachw/Numerical_deicing_public. |
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Kind of Data: |
Post-processed simulation results |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Submitted for review. |
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Bibliographic Citation: |
Submitted for review. |
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Label: |
00_Readme.txt |
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Notes: |
text/plain |
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Label: |
Mesh_Flowfield.cgns |
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Notes: |
application/octet-stream |
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Label: |
Mesh_Structure.cgns |
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Notes: |
application/octet-stream |
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Label: |
minus10_melt_extent.csv |
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Notes: |
text/comma-separated-values |
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Label: |
minus10_threshold76.csv |
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Notes: |
text/comma-separated-values |
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Label: |
minus5_melt_extent.csv |
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Notes: |
text/comma-separated-values |
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Label: |
minus5_threshold76.csv |
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Notes: |
text/comma-separated-values |
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Label: |
threshold_identification.csv |
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Notes: |
text/comma-separated-values |