An Electro‑thermal De‑icing Model and Simulation Analysis Considering Ice Shedding

The electro‑thermal anti/de-icing systems have high heating efficiency and relatively simple structures, marking them as a key development direction for future icing protection. Existing simulation algorithms for electro-thermal de-icing seldom delve into comprehensive ice accretion-melting-deicing models that account for ice shedding. Therefore, the detachment behavior of ice layers during the heating process requires in-depth research and discussion. This paper physically models the phenomenon of ice shedding, incorporates the detachment behavior of ice layers during heating, improves the existing mathematical model for electro-thermal de-icing calculations, establishes an ice accretion-melting-deicing model for electro-thermal de-icing systems, and conducts numerical simulation, verification and optimization analysis of electro-thermal de-icing considering ice shedding. Through multi-condition de-icing numerical simulations of a specific wing model, it is found that ambient temperature can serve as a factor for adapting the electro heating anti/de-icing strategy to the environment. An optimization of heating heat flux density and heating/cooling time is conducted for the wing de-icing control law under the calculated conditions. The improved electro-thermal de-icing model and algorithm developed in this paper provide solid technical support for the design of electro-thermal de-icing systems.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.16356/j.1005-1120.2025.02.002
Primary Topic
Icing and De-icing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Electro‑thermal De‑icing Model and Simulation Analysis Considering Ice Shedding

SHILAP Revista de lepidopterología
Icing and De-icing Technologies
article

An Electro‑thermal De‑icing Model and Simulation Analysis Considering Ice Shedding

article en

Abstract

The electro‑thermal anti/de-icing systems have high heating efficiency and relatively simple structures, marking them as a key development direction for future icing protection. Existing simulation algorithms for electro-thermal de-icing seldom delve into comprehensive ice accretion-melting-deicing models that account for ice shedding. Therefore, the detachment behavior of ice layers during the heating process requires in-depth research and discussion. This paper physically models the phenomenon of ice shedding, incorporates the detachment behavior of ice layers during heating, improves the existing mathematical model for electro-thermal de-icing calculations, establishes an ice accretion-melting-deicing model for electro-thermal de-icing systems, and conducts numerical simulation, verification and optimization analysis of electro-thermal de-icing considering ice shedding. Through multi-condition de-icing numerical simulations of a specific wing model, it is found that ambient temperature can serve as a factor for adapting the electro heating anti/de-icing strategy to the environment. An optimization of heating heat flux density and heating/cooling time is conducted for the wing de-icing control law under the calculated conditions. The improved electro-thermal de-icing model and algorithm developed in this paper provide solid technical support for the design of electro-thermal de-icing systems.

SHILAP Revista de lepidopterología
Aviation Industry Corporation of China (China) (CN), Beihang University (CN)
Openalex Percentile: Top 30%
Icing and De-icing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.