Numerical Simulation Study on Predicting the Critical Icing Conditions of Aircraft Pitot Tubes

Aircraft pitot tubes are sophisticated instruments designed to detect airflow pressure and relay this information to onboard computers and flight instruments, enabling the calculation of airspeed through the measurement of total-static pressure differences. The formation of ice on aircraft pitot tubes can compromise the acquisition of airspeed data, misguide pilots, and potentially cause catastrophic flight control failures. This article introduces a predictive methodology for identifying critical conditions that lead to icing on aircraft pitot tubes. Utilizing numerical simulation techniques, the methodology calculates the critical conditions for pitot tube icing across cruise flight regimes and atmospheric conditions, resulting in the generation of a critical condition envelope surface. By comparing these critical conditions against actual sensor data, a predictive danger zone can be established, offering an advanced warning system to ensure flight safety.

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Publication Details

Journal
Sensors
Published
2024-11-20
DOI
https://doi.org/10.3390/s24227410
Citations
5
Primary Topic
Icing and De-icing Technologies
Type
article
Field-Weighted Citation Impact
6.49
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article

Numerical Simulation Study on Predicting the Critical Icing Conditions of Aircraft Pitot Tubes

Zhengang Liu, Yaguo Lyu, Changquan Zhou, Qiyang Chen et al.
5 citations
Sensors
Icing and De-icing Technologies
6.49
article

Numerical Simulation Study on Predicting the Critical Icing Conditions of Aircraft Pitot Tubes

Zhengang Liu, Yaguo Lyu, Changquan Zhou, Qiyang Chen, Lifen Zhang
article en
5 citations

Abstract

Aircraft pitot tubes are sophisticated instruments designed to detect airflow pressure and relay this information to onboard computers and flight instruments, enabling the calculation of airspeed through the measurement of total-static pressure differences. The formation of ice on aircraft pitot tubes can compromise the acquisition of airspeed data, misguide pilots, and potentially cause catastrophic flight control failures. This article introduces a predictive methodology for identifying critical conditions that lead to icing on aircraft pitot tubes. Utilizing numerical simulation techniques, the methodology calculates the critical conditions for pitot tube icing across cruise flight regimes and atmospheric conditions, resulting in the generation of a critical condition envelope surface. By comparing these critical conditions against actual sensor data, a predictive danger zone can be established, offering an advanced warning system to ensure flight safety.

SensorsVol. 24(22)
Northwestern Polytechnical University (CN)
Openalex Percentile: Top 4%
Icing and De-icing Technologies
6.49
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