Numerical Prediction and Experimental Verification of Ice Accretion on Turboprop Nacelles

To address the airworthiness compliance verification requirements for icing on large transport aircraft, this study investigates the icing characteristics of turboprop engine nacelles through numerical simulations and icing wind-tunnel tests. The Reynolds-averaged Navier–Stokes method was employed for external flowfield calculations, Eulerian approach for droplet trajectory analysis, and Messinger model for ice accretion prediction. Focusing on a turboprop engine nacelle of a large amphibious aircraft, systematic analyses were conducted on grid resolution, computational steps, critical icing conditions, and ice shapes. The influence of parameters such as droplet diameter and temperature on ice accumulation was quantified, revealing a critical median volumetric diameter of [Formula: see text] and critical temperature of [Formula: see text]. A novel hybrid scaling criterion was developed for three-dimensional nacelle models, preserving the inlet leading-edge geometry and pressure distribution while minimizing model length, followed by experimental validation in a 3-m-scale icing wind tunnel. Results demonstrated good agreement between numerical predictions and experimental ice shapes, confirming the effectiveness of the multistep icing calculation method and grid reconstruction technique for complex three-dimensional configurations. The blockage effect from tunnel walls was found to increase critical ice accumulation by approximately 12% through flowfield and droplet distribution alterations. These analytical methodologies and parametric relationships provide valuable references for similar turboprop engine nacelle icing analyses.

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Publication Details

Journal
Journal of Aircraft
Published
2025-10-23
DOI
https://doi.org/10.2514/1.c038493
Primary Topic
Icing and De-icing Technologies
Type
article
Field-Weighted Citation Impact
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article

Numerical Prediction and Experimental Verification of Ice Accretion on Turboprop Nacelles

Hengshen Qin, Zhihang Cheng, G. X. Liu, Fan Zhang et al.
Journal of Aircraft
Icing and De-icing Technologies
article

Numerical Prediction and Experimental Verification of Ice Accretion on Turboprop Nacelles

Hengshen Qin, Zhihang Cheng, G. X. Liu, Fan Zhang, Shaoqiang Fan, Fang-Zhou Zhao
article en

Abstract

To address the airworthiness compliance verification requirements for icing on large transport aircraft, this study investigates the icing characteristics of turboprop engine nacelles through numerical simulations and icing wind-tunnel tests. The Reynolds-averaged Navier–Stokes method was employed for external flowfield calculations, Eulerian approach for droplet trajectory analysis, and Messinger model for ice accretion prediction. Focusing on a turboprop engine nacelle of a large amphibious aircraft, systematic analyses were conducted on grid resolution, computational steps, critical icing conditions, and ice shapes. The influence of parameters such as droplet diameter and temperature on ice accumulation was quantified, revealing a critical median volumetric diameter of [Formula: see text] and critical temperature of [Formula: see text]. A novel hybrid scaling criterion was developed for three-dimensional nacelle models, preserving the inlet leading-edge geometry and pressure distribution while minimizing model length, followed by experimental validation in a 3-m-scale icing wind tunnel. Results demonstrated good agreement between numerical predictions and experimental ice shapes, confirming the effectiveness of the multistep icing calculation method and grid reconstruction technique for complex three-dimensional configurations. The blockage effect from tunnel walls was found to increase critical ice accumulation by approximately 12% through flowfield and droplet distribution alterations. These analytical methodologies and parametric relationships provide valuable references for similar turboprop engine nacelle icing analyses.

Journal of Aircraft
Aviation Industry Corporation of China (China) (CN)
Openalex Percentile: Top 59%
Icing and De-icing Technologies
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