Point cloud-based residual analysis of complex blank structural parts and robot scribing control technology

Abstract

With the in-depth development of intelligent manufacturing, the application technology of robot in many aspects is gradually improved. Robot marking is a technology to replace the traditional manual automatic marking process for complex blank structural parts. For a long time, the blank marking basically adopts manual marking. For some blank parts with complex structure and large difference in shape, often workers can not find the processing datum, so often lead to inaccurate positioning datum of this complex structural parts processing, which leads to the processing accuracy of the whole parts can not be guaranteed, and even scrap parts. Focusing on the goal of improving production efficiency and the rationality and accuracy of scribing, carry out comprehensive analysis and execution strategy of processing allowance allocation for complex blanks, blank point cloud data acquisition technology and scheme formulation based on non-contact scanning, and point cloud based analog matching The technical research on the optimal allocation of quasi-analyzed allowances, and the control of automatic robot marking execution, greatly improves production efficiency. This paper studies point cloud registration, machining allowance analysis and robot scribing attitude control methods.