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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2018, Vol. 39 ›› Issue (2): 121536-121536.doi: 10.7527/S1000-6893.2017.121536

• Fluid Mechanics and Flight Mechanics • Previous Articles     Next Articles

Quantitative analysis of micro porous structure of dynamic icing

LI Weibin1,2, WEI Dong1, DU Yanxia1, YI Xian1, YANG Xiaofeng2   

  1. 1. State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China;
    2. Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang 621000, China
  • Received:2017-06-21 Revised:2017-07-31 Online:2018-02-15 Published:2017-07-31
  • Supported by:
    National Natural Science Foundation of China (11472296, 11672322); National Key Basic Research Program of China (2015CB755800); National Key Research and Development Program of China(2017YFF0210701); Fenglei Youth Innovation Fund of CARDC (FLYIF20160001)

Abstract: When super-cooled water droplets impinge a substrate, ice with air pores is formed dynamically. The porou structure is the main factor which influences the thermal and mechanical characteristics of ice. To give a quantitative study of the porous structure of dynamic ice, a pore extraction method is developed based on a variational segmentation model proposed earlier. The method is used to extract the micro image of the ice formed in the ice wind tunnel. The shape, the diameter distribution and other characteristics of the ice formed under different conditions are analyzed systematically. Quantitative study shows that the pore in the ice is sphere-like, and the diameter value is of continuous attribute. The probability density function for the pore diameter is deduced based on the distribution function of the pore diameter. It is clear that the variational segmentation model is feasible and advantageous for pore extraction. The quantitative results are highly consistent with experiment results, and the corresponding quantitative research on the micro-porous structure of dynamic ice can be carried out based on the method proposed.

Key words: dynamic icing, icing wind tunnel, porous structure, image segmentation, quantitative analysis

CLC Number: