Lu Hong, Wu Zidong, Zhang Yongquan, Wang Yongjing, Liu Shu, Huang He, Liu Meng, Liu Shijie
School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.
Department of Mechanical Engineering, School of Engineering, University of Birmingham, Birmingham B15 2TT, UK.
Materials (Basel). 2022 May 26;15(11):3796. doi: 10.3390/ma15113796.
The weaving welding process is a key method used to improve the welding quality in multi-layer and multi-pass welding processes using robots. However, the heat-input fluctuation in the weaving welding process restricts its development. In this paper, we developed a novel weaving welding control algorithm to maintain a constant weld heat input through velocity adaptive planning. First, the heat consumption during the weaving welding was modeled to describe the influence of weaving parameters on the weld heat input. Then, based on the obtained relationship between the weld heat input and the weaving parameters, a velocity-adaptive trajectory planning strategy was proposed by leveraging the transformation matrix derived from the relationship between the workpiece and the robot co-ordinate systems. The simulation and experimental results show that the proposed strategy can compensate for the weaving parameters to maintain a constant heat input based on heat consumption and improve the quality of the robotic multi-layer and multi-pass welding process.
摆动焊接工艺是在机器人多层多道焊接工艺中用于提高焊接质量的关键方法。然而,摆动焊接过程中的热输入波动限制了其发展。在本文中,我们开发了一种新颖的摆动焊接控制算法,通过速度自适应规划来保持恒定的焊接热输入。首先,对摆动焊接过程中的热消耗进行建模,以描述摆动参数对焊接热输入的影响。然后,基于获得的焊接热输入与摆动参数之间的关系,利用从工件与机器人坐标系之间的关系导出的变换矩阵,提出了一种速度自适应轨迹规划策略。仿真和实验结果表明,所提出的策略可以根据热消耗来补偿摆动参数以保持恒定的热输入,并提高机器人多层多道焊接工艺的质量。