[1] 暨调和. 金属着色技术[J]. 电镀与涂饰,1983(4):1-7. JI Tiaohe. Metal coloring technology[J]. Electroplating & Finishing,1983(4):1-7. [2] 张炳乾,戴耀天,顾建伟. 金属着色[J]. 表面技术,1982(4):4-7. ZHANG Bingqian,DAI Yaotian,GU Jianwei. Metal coloring[J]. Surface Technology,1982(4):4-7. [3] 江婧,刘利刚. 鞋胶喷涂的路径生成与优化[J]. 计算机辅助设计与图形学学报,2020,32(5):830-836. JIANG Jing,LIU Ligang. Path planning and optimziation for shoe glue spraying[J]. Journal of Computer-Aided Design & Computer Graphics,2020,32(05):830-836. [4] 廖伟东,李俊渊,黄昕,等. 多层多道焊接机器人离线编程路径规划[J]. 机床与液压,2021,45(15):67-70. LIAO Weidong,LI Junyuan,HUANG Xin,et al. Robotic off-line programming path planning for multi-path/multi-layer welding[J]. Machine Tool & Hydraulics,2021,45(15):67-70. [5] NETO P,MENDES N. Direct offline robot programming via a common CAD package[J]. Robotics and Autonomous Systems,2013,61(8):896-910. [6] NETO P,MENDES N,ARAUJO R,et al. High-level robot programming based on CAD:dealing with unpredictable environments[J]. The International Journal of Robotics Research and Application,2012,39(3):294-303. [7] ANDULKAR M V,CHIDDARWAR S S. Incremental approach for trajectory generation of spray-painting robot[J]. Industrial Robot-the International Journal of Robotics Research and Application,2015,42(3):228-241. [8] 田孟辙,王占宏. 某车型密封胶车底机器人涂胶路径设计与示教[J]. 现代涂料与涂装,2021,24(9):32-38+38. TIAN Mengzhe,WANG Zhanhong. The designing and teaching of UBS robot seam sealing trajectory[J]. Modern Paint & Finishing,2021,24(9):32-38+38. [9] CHU C H,LIU Y W,LI P C,et al. Programming by demonstration in augmented reality for the motion planning of a three-axis CNC dispenser[J]. International Journal of Precision Engineering and Manufacturing-Green Technology,2020,7(5):987-995. [10] LIU Y W,LI P C,CHU C H,et al. Augmented reality assisted programming by demonstration for motion planning of 3-axis glue dispenser[M]. 2017. [11] 柘龙炫,李少波,张星星,等. 基于RBF神经网络的六自由度机械臂轨迹优化[J]. 组合机床与自动化加工技术,2021(6):17-20. ZHE Longxuan,LI Shaobo,ZHANG Xingxing,et al. Trajectory optimization of six-degree-of-freedom manipulator based on RBF neural network[J]. Modular Machine Tool & Automatic Manufacturing Technique,2021(6):17-20. [12] TING Y,CHEN C H,FENG H Y,et al. Apply computer vision and neural network to glue dispenser route inspection[C]. IEEE International Conference on Mechatronics and Automation,2007:3882-3887. [13] TING Y,CHEN C H,FENG H Y,et al. Glue dispenser route inspection by using computer vision and neural network[J]. International Journal of Advanced Manufacturing Technology,2008,39(9-10):905-918. [14] 王志远,邢志国,王海斗,等. 液滴在固体织构化表面上的润湿行为研究现状[J]. 机械工程学报,2022,58(1):124-144. WANG Zhiyuan,XING Zhiguo,WANG Haidou,et al. Research progress of droplet wetting behavior on solid textured surface[J]. Journal of Mechanical Engineering,2022,58(1):124-144. [15] LI R,ASHGRIZ N,CHANDRA S. Maximum spread of droplet on solid surface:low reynolds and weber numbers[J]. Journal of Fluids Engineering,2010,132(6). [16] YOUNG T. III. An essay on the cohesion of fluids[J]. Philosophical Transactions of the Royal Society of London,1805,95:65-87. [17] 樊瑞瑞,肖军杰,蒋小珊,等. Collings模型预测微液滴最大铺展直径因数研究[J]. 绿色包装,2022(1):34-41. FAN Ruirui,XIAO Junjie,JIANG Xiaoshan,et al. Prediction of maximum spreading diameter factor of droplets based on collings model[J]. Green Packaging,2022(1):34-41. [18] LIU Zhiying,XIE Chunis,LI Jinjun,et al. Canny edge detection algorithm based on improved sequential statistical filter[J]. 202039th Chinese Control Conference,2020,3245-3251. [19] 张铮,徐超,任淑霞,等. 数字化图像处理与机器视觉[M]. 北京:人民邮电出版社,2014. ZHANG Zheng,XU Chao,REN Shuxia,et al. Digital image processing and machine vision[M]. Beijing:Posts and Telecommunications Press,2014. [20] 孔令德. 计算几何算法与实现(Visual C++版)[M]. 北京:电子工业出版社,2017. KONG Lingde. Computational geometry algorithms and implementation (Visual C++)[M]. Beijing:Electronic Industry Press,2017. |