面向机器人喷涂的多变量涂层厚度分布模型

王国磊; 伊强; 缪东晶; 陈恳; 王力强

doi:10.16511/j.cnki.qhdxxb.2017.26.017

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清华大学学报（自然科学版） ›› 2017, Vol. 57 ›› Issue (3) : 324-330. DOI: 10.16511/j.cnki.qhdxxb.2017.26.017

机械工程

面向机器人喷涂的多变量涂层厚度分布模型

王国磊¹, 伊强¹, 缪东晶¹, 陈恳¹, 王力强²

作者信息 +

Multivariable coating thickness distribution model for robotic spray painting

WANG Guolei¹, YI Qiang¹, MIAO Dongjing¹, CHEN Ken¹, WANG Liqiang²

Author information +

文章历史 +

摘要

为了解决传统机器人喷涂模型在喷涂工艺参数改变时会失效的问题，该文将喷涂工艺参数作为模型变量，研究多变量喷涂模型的建模方法。首先，提出了一种基于β分布的涂层生长速率函数，并通过对其进行积分推导出涂层厚度分布方程；其次，通过分析、拟合喷涂实验数据，分别建立喷枪流量、喷涂距离与涂层生长率最大值的关系式，以及喷枪流量、空气压力与喷幅宽度的关系式，并将其代入到涂层厚度分布方程中，建立了以5种常变喷涂工艺参数为自变量的涂层厚度分布泛化模型；最后，通过实验对模型进行验证。结果表明：该模型能够根据工艺参数的变化预测相应的涂层厚度分布，且平均预测误差小于4.3%。

Abstract

A multivariable robotic spray painting model was developed for a range of painting parameters to improve the restricted traditional model. A β distribution based coating growth rate function was used with a coating thickness distribution formula then deduced from the integral of the growth rate function. The maximum coating growth rate was related to the paint flow rate and painting distance with the paint flow rate related to the painting air pressure and painting width from experimental data. Then, a generalized coating thickness distribution model was developed with five painting parameters as independent variables by substituting these relations into the coating thickness distribution equations. The model was validated through experiments with the results showing that it can predict the coating thickness distribution for various painting parameters with an average forecasting error of less than 4.3%.

导出引用

王国磊, 伊强, 缪东晶, 陈恳, 王力强. 面向机器人喷涂的多变量涂层厚度分布模型[J]. 清华大学学报（自然科学版）. 2017, 57(3): 324-330 https://doi.org/10.16511/j.cnki.qhdxxb.2017.26.017

WANG Guolei, YI Qiang, MIAO Dongjing, CHEN Ken, WANG Liqiang. Multivariable coating thickness distribution model for robotic spray painting[J]. Journal of Tsinghua University(Science and Technology). 2017, 57(3): 324-330 https://doi.org/10.16511/j.cnki.qhdxxb.2017.26.017

中图分类号： TP242.2

参考文献

[1] Antonio J K. Optimal trajectory planning for spray coating[C]//Proc IEEE International Conf on Robotics and Automation. Piscataway, NJ, USA:IEEE Press, 1994:2570-2577. [2] Freund E, Rokossa D, Rossmann J. Process-oriented approach to an efficient off-line programming of industrial robots[C]//Proc 24th Conf of IEEE Industrial Electronics Society. Piscataway, NJ, USA:IEEE Press, 1998:208-213. [3] Suh S H, Woo I K, Noh S K. Development of an automatic trajectory planning system (ATPS) for spray painting robots[C]//Proc IEEE International Conf on Robotics and Automation. Piscataway, NJ, USA:IEEE Press, 1991:1948-1955. [4] Balkan T, Arikan M A S. Surface and process modeling and off-line programming for robotic spray painting of curved surfaces[J]. Journal of Robotic Systems, 2000, 17(9):479-494. [5] Balkan T, Arikan M A S. Modeling of paint flow rate flux for circular paint sprays by using experimental paint thickness distribution[J]. Mechanics Research Communications, 1999, 26(5):609-617. [6] 陈雁, 颜华, 王力强, 等. 机器人匀速喷涂涂层均匀性分析[J]. 清华大学学报(自然科学版), 2010, 50(8):1210-1213. CHEN Yan, YAN Hua, WANG Liqiang, et al. Coating uniformity with a uniform robotic spray gun velocity[J]. J Tsinghua Univ (Sci and Tech), 2010, 50(8):1210-1213. (in Chinese) [7] 张永贵, 黄玉美, 高峰, 等. 喷漆机器人空气喷枪的新模型[J]. 机械工程学报, 2006, 42(11):226-233.ZHANG Yonggui, HUANG Yumei, GAO Feng, et al. New model for air spray gun of robotic spray painting[J]. Chinese Journal of Mechanical Engineering, 2006, 42(11):226-233. (in Chinese) [8] Conner D C, Greenfield A, Atkar P N, et al. Paint deposition modeling for trajectory planning on automotive surfaces[J]. IEEE Transactions on Automation Science and Engineering, 2005, 2(4):381-392. [9] 冯川, 孙增圻. 机器人喷涂过程中的喷炬建模及仿真研究[J]. 机器人, 2003, 25(4):353-358.FENG Chuan, SUN Zengqi. Models of spray gun and simulation in robotics spray painting[J]. Robot, 2003, 25(4):353-358. (in Chinese) [10] Pal J F, Jan T G. A real-time algorithm for determining the optimal paint gun orientation in spray paint applications[J]. IEEE Transactions on Automation Science and Engineering, 2010, 7(4):803-816. [11] Chen Y, Shao J Y, Zhang C Q, et al. Redundant-robot-based painting system for variable cross-section S-shape pipe[C]//Proc 2009 ASME/IFToMM International Conf on Reconfigurable Mechanisms and Robots. London, UK:IEEE Press, 2009:743-749. [12] 陈雁, 邵君奕, 张传清, 等. 复杂管道喷涂系统研制[J]. 机械设计与制造, 2009(11):1-3.CHEN Yan, SHAO Junyi, ZHANG Chuanqing, et al. Development of spraying system for complex duct[J]. Machinery Design & Manufacturing, 2009(11):1-3. (in Chinese)

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收稿日期	出版日期
2016-12-13	2017-03-15
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2017-03-15

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