Quantitative influence of temperature on micro-structure feature of dynamic ice

LI Weibin; MA Honglin; YI Xian; DU Yanxia; ZHAO Fan

doi:10.7638/kqdlxxb-2018.0270

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Quantitative influence of temperature on micro-structure feature of dynamic ice

更新时间：2026-05-28

- Quantitative influence of temperature on micro-structure feature of dynamic ice
- Vol. 37, Issue 5, Pages: 748-753(2019)
- 作者机构：
  
  1. 中国空气动力研究与发展中心空气动力学国家重点实验室,绵阳,621000
  2. 中国空气动力研究与发展中心计算空气动力研究所,绵阳,621000
- 作者简介：
- 基金信息：
- DOI：10.7638/kqdlxxb-2018.0270
  CLC： V211.71
- Published：2019
- 稿件说明：
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李伟斌, 马洪林, 易贤, 杜雁霞, 赵凡. 温度对动态结冰微观结构特性影响定量分析[J]. 空气动力学学报, 2019, 37(5): 748-753.

LI Weibin, MA Honglin, YI Xian, et al. Quantitative influence of temperature on micro-structure feature of dynamic ice[J]. 2019, 37(5): 748-753.
李伟斌, 马洪林, 易贤, 杜雁霞, 赵凡. 温度对动态结冰微观结构特性影响定量分析[J]. 空气动力学学报, 2019, 37(5): 748-753. DOI： 10.7638/kqdlxxb-2018.0270.

LI Weibin, MA Honglin, YI Xian, et al. Quantitative influence of temperature on micro-structure feature of dynamic ice[J]. 2019, 37(5): 748-753. DOI： 10.7638/kqdlxxb-2018.0270.

摘要

飞机结冰是动态冻结的过程，在微观上会形成类似多孔介质的孔隙结构，该微观结构直接影响结冰的物理特性，同时又因结冰条件的不同而呈现一定差异化。针对温度对飞机结冰微观特性定量影响这一难点问题，首先结合图像分割方法，提出结冰微观信息提取方法；其次，结合结冰微观形态的定量结果提出合理假设，建立结冰微观结构的三维数学模型，并提出计算密度的概念，以此作为衡量结冰内部孔隙分布特性的定量指标；最后，以风洞试验显微图像为对象，验证孔隙提取方法和微观结构数学模型的适用性与合理性，并开展了温度对孔隙分布和计算密度的定量影响研究，微观定量结果与宏观特性具有较高的一致性。本研究可以为结冰微观定量研究提供方法手段，为结冰物理现象及物理特性的深入认识提供定量依据。

Abstract

Aircraft icing is formed dynamically and appears with porous structure in microcosmic view. This structure directly influences the physical properties of ice

and varies with different icing conditions. In order to know this influence law better

the paper focuses on the difficult about question how micro features changed quantitatively at different temperatures. At the beginning

an information extraction approach is presented based on the image segmentation method. Secondly

some assumptions are given following the quantitative results of ice in microcosmic view

and then the 3D mathematical model is built based on them. In order to measure distribution characteristics of air pores in the model quantitatively

a computational density is proposed. Finally

take micro-images of ice formed in icing wind tunnel as objects

the feasibility and rationality of the proposed information extraction method and mathematical model are demonstrated. Pores distribution and computational density of ice at different temperatures are also discussed

and the results show highly consistent with the macroscopic viewpoints. Through this paper

it provides quantitative basis for deep understanding of physical phenomenon and properties

and a new way to ice study in microscopic view can be given.

关键词

Keywords

references

HANSMAN R J, KIRBY M S. Comparison of wet and dry growth in artificial and flight icing conditions[J]. Journal of Thermophysics and Heat Transfer, 1987, 1(3):215-221.

ZHOU W W, LIU Y, HU H, et al. Utilization of thermal effect induced by plasma generation for aircraft icing mitigation[J]. AIAA Journal, 2018, 56(3):1097-1104.

DU Y X, LI M, GUI Y W, et al. Review of thermodynamic behaviors in aircraft icing process[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38(2):25-36. (in Chinese)

LEI G L, DONG W, ZHENG M, et al. Numerical investigation on heat transfer and melting process of ice with different porosities[J]. International Journal of Heat and Mass Transfer, 2017, 107:934-944.

WU W D, WANG F F, SHEN R, et al. Experimental study on anti-icing performance of aluminium-based super-hydrophobic surface under different substrate temperatures[J]. Journal of Refrigeration, 2017, 38(3):82-88. (in Chinese)

JIN Z Y, WANG Z N, SUI D Y, et al. The impact and freezing processes of a water droplet on different inclined cold surfaces[J]. International Journal of Heat and Mass Transfer, 2016, 97:211-223.

LI W B, WEI D, DU Y X, et al. Quantitative analysis of micro porous structure of dynamic icing[J]. Acta Aeronautica et Astronautica Sinica, 2018, 39(2):107-114. (in Chinese)

LEI G L, ZHENG M, DONG W, et al. Numerical investigation of ice density effects on airfoil de-icing process[J]. Acta Aerodynamica Sinica, 2018, 36(06):958-965.

WANG X P, HU J L, WU B, et al. Study on edge extraction methods for image-based icing on-line monitoring on overhead transmission lines[J]. High Voltage Engineering, 2008, 34(12):2687-2693.

WANG X P, HU J L, SUN C, et al. On-line monitoring of icing-thickness on transmission line with image edge detecting method[J]. High Voltage Apparatus, 2009, 6:019.

ZHANG K, WEI T, HU H. An experimental investigation on the surface water transport process over an airfoil by using a digital image projection technique[J]. Experiments in Fluids, 2015, 56(9):173.

LI W B, YI X, SONG S H. Convex background removed model for image segmentation using the split Bregman method[J]. Journal of Information and Computational Science, 2015, 12(17):6641-6652.

KINTEA D M, ROISMAN I V, TROPEA C. Transport processes in a wet granular ice layer:Model for ice accretion and shedding[J]. International Journal of Heat and Mass Transfer, 2016, 97:461-472.

KRZYSZTOF S, EDWARD P. Three-dimensional modelling of ice accretion density[J]. Quarterly Journal of the Royal Meteorological Society, 2000, 126(568):2395-2404.

JONES K F. The density of natural ice accretions related to nondimensional icing parameters[J]. Quarterly Journal of the Royal Meteorological Society, 2010, 116(492):477-496.

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