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锻铸件毛坯在加工制造过程中,采用传统的划线定位方式存在废品率高、数控化率低等问题,为了免除划线工艺,实现毛坯加工余量的数字化检测和加工定位,提出了一套基于扫描点云与CAD模型配准对齐的毛坯加工定位技术,该技术首先建立毛坯加工余量优化分配的数学模型,然后采用遗传算法以双层迭代寻优的方式实现了模型的求解。最后,利用扫描点云和CAD模型配准对齐过程的位姿调整矩阵对CAD模型生成的刀位点进行后置变换处理,实现了毛坯的免划线加工。通过实际的加工实验,验证了所提出的加工定位技术。
Forging castings blank in the process of manufacturing, the use of traditional scribing method of positioning there is a high rejection rate, numerical control rate low and so on, in order to remove the scribing process, to achieve the rough machining allowance digital detection and processing positioning, a set of Based on the registration and alignment of the scanned point cloud and the CAD model, a rough machining positioning technology is established. Firstly, a mathematic model of rough machining allowance optimization distribution is established. Then the genetic algorithm is used to solve the model with double iterative optimization. Finally, using the pose adjustment matrix of the registration point cloud and the CAD model registration alignment process, the knife position generated by the CAD model is post-transformed, and the blank-free processing of the blank is achieved. Through the actual machining experiment, the proposed machining positioning technology is verified.