【摘要】 针对飞机壁板类零件采用修配法装配过程中需要精确获取修配加工路径的问题，提出一种基于实测点云数据的壁板类零件修配加工路径计算方法。首先设计一种基于法线差的特征点检测算法提取参考壁板的初始特征点。然后建立迭代收缩优化模型对初始特征点进行收缩优化，得到参考壁板的准确特征点。最后根据工装定位孔特征进行配准，将参考壁板的特征点映射到待修配壁板上，并将映射后的特征点按照一定顺序进行连接，得到待修配壁板的修配加工路径，按照修配路径进行加工，获得壁板装配配合边界。实验表明，该方法能够精确提取待修配壁板修配加工路径，并且经过加工验证，壁板试验件对缝间隙获得小于1.2 mm的实际效果。更多还原

【Abstract】 Since the manufacturing process of aircraft panel parts resquires accurately extracting the machining allowance, this paper proposes a repair method of panel parts based on the measured point cloud data. First, a feature point detection algorithm based on normal difference is designed to extract the initial feature points of the reference panels. Second, the iterative shrinkage optimization model is established to perform shrinkage optimization on the initial feature points to obtain the final feature points of the reference panels. Finally, registration is performed according to the tooling positioning holes, and after the feature points of the reference panel are mapped to the panel to be repaired, feature points are connected in a certain order to obtain the processing path of the panel to be repaired. Processing is carried out according to the repairing path and the gap of the panels is detected after the assemble. Experimental result show that this method can accurately extract the processing path of the panel to be repaired and after processing verification, and the gap between the wall panels is less than 1.2 mm.更多还原