基于涂层模型的再制造异形件涂油方法及工艺参数优化

doi:10.3901/JME.2018.13.215

机械工程学报 ›› 2018, Vol. 54 ›› Issue (13): 215-224.doi: 10.3901/JME.2018.13.215

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基于涂层模型的再制造异形件涂油方法及工艺参数优化

夏绪辉¹, 杨熠¹, 王蕾^1,2, 曹建华^1,2, 刘翔^1,2

1. 武汉科技大学冶金装备及其控制教育部重点实验室武汉 430081;
2. 武汉科技大学服务科学与工程研究中心武汉 430065

收稿日期:2017-07-11 修回日期:2017-12-29 出版日期:2018-07-05 发布日期:2018-07-05
通讯作者: 王蕾(通信作者),女,1987年出生,博士,工程师。主要研究方向为制造系统工程、逆向供应链管理。E-mail:wanglei1987@wust.edu.cn
作者简介:夏绪辉,男,1966年出生,博士,教授,博士研究生导师。主要研究方向为制造系统工程、逆向供应链管理。E-mail:xiaxuhui@wust.edu.cn;杨熠,男,1992年出生,硕士研究生。主要研究方向为机电一体化。Email:273405229@qq.com;曹建华,男,1989年出生,博士研究生。主要研究方向为语义网络,制造系统工程。E-mail:972939257@qq.com;刘翔,男,1983年出生,工程师。主要研究方向为电气工程。E-mail:liuxiang@wust.edu.cn
基金资助:
国家自然科学基金（71471143）、湖北省自然科学基金（2018CFB265）和武汉科技大学服务科学与工程研究中心开放基金（CSSE2017KA04）资助项目。

Spraying Method and Optimization of Process Parameters for Remanufacturing Profiled Workpieces Based on Coating Model

XIA Xuhui¹, YANG Yi¹, WANG Lei^1,2, CAO Jianhua^1,2, LIU Xiang^1,2

1. Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081;
2. Center of Service Science and Engineering, Wuhan University of Science and Technology, Wuhan 430065

Received:2017-07-11 Revised:2017-12-29 Online:2018-07-05 Published:2018-07-05

摘要/Abstract

摘要： 再制造零件的涂油保护是其以完好的质量状态进入新生命周期的关键技术之一。针对多品种大批量形状不规则难以装夹的再制造异形件，不易规模化涂油保护问题，基于平面和曲面涂层生长模型，提出一种绕中心轴线公转、相对周边自转，在密闭环境辅以自重驱动的再制造异形件喷涂油方法，并对喷涂机构数量、喷涂机构安装位置、喷涂距离以及喷嘴数量等主要工艺参数进行分析计算。为提高喷涂均匀性和喷涂效率，在分析喷涂质量影响因素的基础上，建立喷嘴位置与工件转速优化模型，通过粒子群算法求解得到最优设计参数，仿真试验验证了模型的正确性和求解方法的有效性。

关键词: 工艺参数优化, 喷涂方法, 涂层生长模型, 再制造异形件

Abstract: The oil-making protection of remanufacturing parts is one of the key technologies for entering the new life cycle with good quality. The remanufacturing profiled workpieces in a variety of large quantities of irregular shape which are difficult to clamp are not easy to scale oil protection. Based on the growth model of plane and surface coating, the oil protection method that the remanufacturing profiled workpieces driven by their own weight rotate around the central axis and around the center in the closed environment is proposed. The number of spraying mechanism, the spraying mechanism position, spraying distance and the nozzle number and other key parameters are calculated. In order to improve the uniformity of spraying and spraying efficiency, based on the analysis of influence factors on the quality of spraying coating, the optimization model of nozzle space and workpiece speed was established, the optimal design parameters are obtained by particle swarm optimization(PSO). Simulation test verify the correctness of the model and the effectiveness of the calculation method.

Key words: coating growth model, process parameters optimization, remanufacturing profiled workpiece, spray method

中图分类号:

TH16

夏绪辉, 杨熠, 王蕾, 曹建华, 刘翔. 基于涂层模型的再制造异形件涂油方法及工艺参数优化[J]. 机械工程学报, 2018, 54(13): 215-224.

XIA Xuhui, YANG Yi, WANG Lei, CAO Jianhua, LIU Xiang. Spraying Method and Optimization of Process Parameters for Remanufacturing Profiled Workpieces Based on Coating Model[J]. Journal of Mechanical Engineering, 2018, 54(13): 215-224.

参考文献

[1] 徐滨士. 再制造与循环经济[M]. 北京:科学出版社, 2007. XU Binshi. Remanufacture and recycling economy[M]. Beijing:Science Press, 2007.
[2] 徐滨士,董世运,朱胜, 等. 再制造成形技术发展及展望[J]. 机械工程学报, 2012, 48(15):96-104. XU Binshi, DONG Shiyun, ZHU Sheng, et al. Prospects and developing of remanufacture forming technology[J]. Journal of Mechanical Engineering, 2012, 48(15):96-104.
[3] 李恩重,史佩京,徐滨士,等. 我国再制造政策法规分析与思考[J]. 机械工程学报, 2015, 51(19):117-123. LI Enzhong, SHI Peijing, XU Binshi, et al. Analysis of policies and regulations of china remanufacturing[J]. Journal of Mechanical Engineering, 2015, 51(19):117-123.
[4] 陈志超. 浅谈小件加工中心浸入式涂油防锈应用[J]. 中国科技博览, 2011(26):314. CHENG Zhichao. A brief discussion on the application of immersion oil anti rust in small machining center[J]. China Science and Technology Review, 2011(26):314.
[5] ARIKAN M A S, BALKAN T. Process modeling simulation and paint thickness measurement for robotic spray painting[J]. Journal of Robotic Systems, 2000, 17(9):479-494.
[6] 王家青, 高全杰. 静电涂油机中新型油液荷电装置的试验研究及仿真分析[J]. 中国机械工程, 2008, 19(18):2176-2179. WANG Jiaqing, GAO Quanjie. Experimental research and emulation analysis on the charging device in the electrostatic oiler[J]. China Mechanical Engineering, 2008, 19(18):2176-2179.
[7] 郑广建. 一种圆形组件端面喷涂自动生产线的设计[J]. 制造业自动化, 2016, 38(4):26-29. ZHENG Guangjian. Design of automatic generating line of end surface spraying of circular component[J]. Manufacturing Automation, 2016, 38(4):26-29.
[8] 曾勇,龚俊,陆保印. 面向直纹曲面的喷涂机器人喷枪轨迹优化[J]. 中国机械工程, 2010, 21(17):2085-2089. ZENG Yong, GONG Jun, LU Baoyin. Trajectory optimization of spray painting robot for ruled surfaces[J]. China Mechanical Engineering, 2010, 21(17):2085-2089.
[9] 陈伟,赵德安,汤养. 自由曲面喷漆机器人喷枪轨迹优化[J]. 农业机械学报, 2008, 39(1):147-150. CHEN Wei, ZHAO Dean, TANG Yang. Trajectory optimization on robotic spray painting of free-form surface[J]. Transactions of the Chinese Society for Agricultural Machinery, 2008, 39(1):147-150.
[10] ZHANG C, FANG Z. An improved K-means clustering algorithm[J]. Journal of Networks, 2014, 9(1):44-46.
[11] 曾勇,龚俊,许宁,等. 面向犄角型曲面的喷涂机器人喷涂轨迹优化[J]. 浙江大学学报(工学版), 2014, 48(5):791-798. ZENG Yong, GONG Jun, XU Ning, et al. Tool trajectory optimization of spray painting robot for horns surface[J]. Journal of Zhejiang University(Engineering Science), 2014, 48(5):791-798.
[12] CHENG H, XI N. Automated tool trajectory planning of industrial robots for painting composite surfaces[J]. International Journal of Advanced Manufacturing Technology, 2008, 35(7-8):680-696.
[13] 郭庆胜,冯代鹏,刘远刚,等. 一种解算空间几何对象的最小外接矩形算法[J]. 武汉大学学报(信息科学版), 2014, 39(2):177-180. GUO Qingsheng, FENG Daipeng, LIU Yuangang, et al. An Algorithm for computing the smallest-area enclosing rectangle of spatial geometric object(s)[J]. Geomatics and Information Science of Wuhan University, 2014, 39(2):177-180.
[14] 王延忠,牛文韬,唐文,等. 喷油方位参数对航空直齿轮喷油润滑过程的影响[J]. 航空动力学报, 2015, 30(7):1605-1610. WANG Yanzhong, NIU Wengtao, TANG Wen, et al. Influence of spray orientation parameters on spray lubrication process of aero spur gears[J]. Journal of Aerospace Power, 2015, 30(7):1605-1610.
[15] 刘媛媛,王萌,姜立勇,等. 高压无气喷涂在工程机械制造业中的应用探讨[J]. 现代涂装, 2013, 16(7):52-56. LIU Yuanyuan, WANG Meng, JIANG Liyong, et al. Discussion on application of high pressure airless spraying used in construction machinery manufacturing industry[J]. Modern Finishing, 2013, 16(7):52-56.
[16] HANSBO A, NYLéN P. Models for the simulation of spray deposition and robot motion optimization in thermal spraying of rotating objects[J]. Surface and Coatings Technology, 1999, l22(2-3):191-201.
[17] 马华伟,朱益民,胡笑旋. 基于粒子群算法的无人机舰机协同任务规划[J]. 系统工程与电子技术,2016,38(7):1583-1588. MA Huawei, ZHU Yimin, HU Xiaoxuan. Cooperative task planning for ship and UAVs based on particle swarm optimization algorithm[J]. Systems Engineering and Electronics, 2016, 38(7):1583-1588.
[18] 刘志雄, 梁华. 粒子群算法中随机数参数的设置与实验分析[J]. 控制理论与应用, 2010, 27(11):1489-1496. LIU Zhixiong, LIANG Hua. Parameter setting and experimental analysis of the random number in particle swarm optimization algorithm[J]. Control Theory & Applications, 2010, 27(11):1489-1496.

基于涂层模型的再制造异形件涂油方法及工艺参数优化

Spraying Method and Optimization of Process Parameters for Remanufacturing Profiled Workpieces Based on Coating Model

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