【摘要】 在采用电火花加工工艺对电解加工后的叶片边缘进行修整时，叶片理论模型的基准与叶片毛坯的基准之间存在较大误差，若要得到较为均匀的加工余量，需确定叶片理论模型与叶片毛坯之间的相对位置，为此提出了一种基于叶片截面特征参数的毛坯配准方法。首先，利用叶片截面上的等距弦长和等距中弧线特征数据，建立了能够反映叶片理论模型与叶片毛坯匹配程度的毛坯配准数学模型；接着，通过遗传算法对毛坯配准数学模型进行优化；然后，得到模型与毛坯之间的坐标变换参数；最后，用优化后的参数作为迭代最近点算法的初值进行精确配准。经数值算例验证，结果显示：采用中弧线特征数据粗配准后再使用ICP算法精配准取得了更好的配准效果，配准误差由单独使用ICP算法配准时的0.635 79 mm降低到0.019 18 mm。更多还原

【Abstract】 When the EDM process is used to trim the blade edge after electrochemical machining,there is a large error between the references of the blade theoretical model and the blade blank. In order to provide the blank a uniform machining allowance,it is necessary to determine the relative position between the blade theoretical model and the blade blank. Therefore,a blank registration method based on the characteristic parameters of the blade section is proposed in this paper. This method uses the equidistant chord length and the equidistant middle arc characteristic data on the blade section to establish a blank registration mathematical model which reflects the matching degree between the blade theoretical model and the blade blank. The blank registration mathematical model is optimized by a genetic algorithm,and then the coordinate transformation parameters between the theoretical model and the blank are obtained. Finally,the optimized parameters are used as the initial values of iterative closest point(ICP) algorithm for accurate registration. Numerical calculation results show that the better registration effect is achieved by using ICP algorithm after rough registration of middle arc characteristic data than that using ICP algorithm only. The registration error is reduced from 0.635 79mm when using ICP algorithm alone to 0.019 18 mm.更多还原