Hall thrusters are electric propulsion devices that are widely used in modern spaceflight. To obtain the critical corrosion data effectively and accurately during long-life tests of Hall thrusters, this paper proposes an automated corrosion measurement method based on three-dimensional point cloud technology. This method uses binocular structured light scanning method to obtain surface point cloud data. The point cloud topology relationship of these disordered data is also established by KD-tree and radius filtering. The base plane is determined according to the average of the outer circle plane in the discharge chamber, and the original point cloud data is sliced transversely and longitudinally. The point cloud of section data is extracted and the corrosion width data is obtained according to the round hole feature extraction and center of circle calculation. The corrosion angle is calculated according to the angle between the straight line and the normal of the section. The proposed method has been verified and the results show that the overall error accuracy is within 60 μm, which meets the requirements for automatic measurement of Hall thruster corrosion. It is a real and effective method to obtain the critical corrosion data during long-life tests of Hall thrusters.

中文翻译：

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利用三维点云测量霍尔推进器腐蚀宽度和角度的新方法

霍尔推进器是现代航天中广泛使用的电力推进装置。为了有效、准确地获取霍尔推进器长寿命试验过程中的关键腐蚀数据，提出一种基于三维点云技术的自动化腐蚀测量方法。该方法采用双目结构光扫描方法获取表面点云数据。这些无序数据的点云拓扑关系也是通过KD树和半径过滤建立的。根据放电室内外圆平面的平均值确定基平面，对原始点云数据进行横向和纵向切片。通过圆孔特征提取和圆心计算，提取断面数据点云，得到腐蚀宽度数据。腐蚀角根据直线与截面法线的夹角计算。对该方法进行了验证，结果表明总体误差精度在60μm以内，满足霍尔推进器腐蚀自动测量的要求。该方法是获取霍尔推进器长寿命试验关键腐蚀数据的真实有效的方法。