基于截面SEM数据特征的微尘三维形貌建模方法

doi:10.7527/S1000-6893.2021.26201

Abstract

Abstract:

The performance of aerospace equipment in dusty environment is seriously affected by dust particles， such as military helicopters and transport planes taking off and landing in the desert and Mars rovers used on the dusty surface of Mars. To strengthen the dustproof design of aerospace equipment， the 3D morphology of dust particles is very important， and affects the aerodynamic and adhesion characteristics of dust particles. However， due to the wide distribution of particle sizes， complex compositions and irregular shapes， it is very difficult to obtain accurate 3D morphology of dust particles. In this paper， a novel method for modeling the 3D morphology of dust particles is proposed based on cross-sectional SEM data characteristics. The tomographic images with high resolution are obtained by layers peeling of dust particle samples. Based on the radius variation of the embedded steel ball in the fault image， the problem of accurate measurement of fault image spacing is solved. The 3D morphology reconstruction of fine dust based on the fault image is realized. The proposed method is used to reconstruct and analyze the 3D morphology of the dust particle samples with a particle size of 100 μm. The accurate 3D morphologies of 500 dust particles are obtained. In this paper， the 3D morphology of dust particle is quantitatively characterized， and the analysis method of the shape characteristics of dust particle is developed. The morphological data of dust particles is provided for studying the aerodynamic， rebound and adsorption characteristics of dust particles， promoting the research on aero-engine erosion protection， aero-engine aerodynamics and space probe， as well as dustproof design of aerospace equipment.

Key words: aerospace equipment, dust particle, geometric feature, image processing, three-dimensional morphology

CLC Number:

V233

Linhong ZHOU, Guangyu HE, Shunlai ZANG. A method for modeling three-dimensional morphology of dust particle based on cross-sectional SEM data characteristics[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(4): 426201-426201.

Figures/Tables 17

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Table 1

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拟合方法	不同粒径微尘占比/%
拟合方法	<25 μm	25~40 μm	40~55 μm	55~70 μm	70~85 μm	85~100 μm	100~125 μm	>125 μm
最小二乘圆（直径）	2.007	5.351	11.037	29.431	26.756	18.395	5.351	1.672
最小二乘椭圆（长轴）	0.334	3.344	4.682	11.371	28.428	18.060	22.074	11.706
最小二乘椭圆（短轴）	5.686	17.391	27.090	31.438	13.712	3.679	1.003	0
最小外接圆（直径）	0	3.344	4.348	6.689	21.405	26.421	25.753	12.040
最大内接圆（直径）	9.365	24.415	38.462	22.074	5.017	0.334	0.334	0

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A method for modeling three-dimensional morphology of dust particle based on cross-sectional SEM data characteristics

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