Numerical simulations of ice crystal icing within a 1.5-stage compressor in an aero-engine

Ice crystal icing within aircraft engines at high altitudes significantly impacts safe operation. Due to the complexity of the structure and the thermodynamic conditions, gaining a comprehensive understanding of ice crystal icing presents a considerable challenge. This study establishes a numerical simulation framework to investigate ice crystal icing in compressor structures, taking into account rotational effects and data transfer between blade rows. The simulation framework includes airflow field computation, particle movement model, and icing thermodynamic models. The icing process in a 1.5 stage compressor was simulated, revealing key insights into the ice accretion mechanisms. Results confirm that a certain range of temperature and pressure increases within the compressor causes ice particles to melt and stick to the blade surfaces, ultimately forming ice accretion. Ice accretion is primarily concentrated on the leading edge of the stator blades, with minor accretion on the pressure surfaces. The ice shapes exhibit pronounced three-dimensional characteristics in the spanwise direction due to centrifugal forces. Parameter influence analysis of the ice accretion reveals that temperature, particle size, and ice water content significantly affect the icing process. These findings provide valuable insights into the mechanisms of ice crystal icing in aero engines and contribute to the design of anti-icing systems.

Authors

Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-03-15
DOI
https://doi.org/10.1016/j.csite.2025.106026
Citations
4
Primary Topic
Icing and De-icing Technologies
Type
article
Field-Weighted Citation Impact
19.97

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical simulations of ice crystal icing within a 1.5-stage compressor in an aero-engine

Xueqin Bu, Ping Huang, Dongsheng Wen, Guiping Lin
4 citations
Case Studies in Thermal Engineering
Icing and De-icing Technologies
19.97
article

Numerical simulations of ice crystal icing within a 1.5-stage compressor in an aero-engine

Xueqin Bu, Ping Huang, Dongsheng Wen, Guiping Lin
article en
4 citations

Abstract

Ice crystal icing within aircraft engines at high altitudes significantly impacts safe operation. Due to the complexity of the structure and the thermodynamic conditions, gaining a comprehensive understanding of ice crystal icing presents a considerable challenge. This study establishes a numerical simulation framework to investigate ice crystal icing in compressor structures, taking into account rotational effects and data transfer between blade rows. The simulation framework includes airflow field computation, particle movement model, and icing thermodynamic models. The icing process in a 1.5 stage compressor was simulated, revealing key insights into the ice accretion mechanisms. Results confirm that a certain range of temperature and pressure increases within the compressor causes ice particles to melt and stick to the blade surfaces, ultimately forming ice accretion. Ice accretion is primarily concentrated on the leading edge of the stator blades, with minor accretion on the pressure surfaces. The ice shapes exhibit pronounced three-dimensional characteristics in the spanwise direction due to centrifugal forces. Parameter influence analysis of the ice accretion reveals that temperature, particle size, and ice water content significantly affect the icing process. These findings provide valuable insights into the mechanisms of ice crystal icing in aero engines and contribute to the design of anti-icing systems.

Case Studies in Thermal EngineeringVol. 69
National Natural Science Foundation of China, Higher Education Discipline Innovation Project, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 1%
Icing and De-icing Technologies
19.97
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.