Tool Trajectory Optimization of Robotic Spray Paintin
A model of paint deposition rate is established according to the experimental data. A complex curved surface has to be divided into several patches and trajectory optimization for each patch is performed. Optimization processes are developed to optimize the paint thickness for a surface with multiple patches.The pattern search method is adopted to optimize the parameters. A workpiece, which is a complex curved surface, is used to test the scheme. The results of experiments have shown that the trajectory optimization algorithm achieves satisfactory performance. This algorithm can also be extended to other applications.
paint deposition rate spray painting robot trajectory optimization material thickness experiments
Chen Wei Zhao Dean
College of Electronic and Information Engineering, Jiangsu University Zhenjiang, China
国际会议
长沙
英文
2345-2348
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）