基于粒子群算法的在蒸汽水雾中电火花线切割大厚度工件模型优化
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摘要
本实验利用单因素试验法分析单个因素对大厚度工件表面质量和加工速度的影响,重点进行多因素正交试验,使用Matlab软件建立大厚度工件在蒸汽水雾介质下的第二次电火花线切割的直线度模型、表面粗糙度模型和加工速度模型,通过序关系分析法确定直线度、表面粗糙度和加工速度的权重分别是5/17、6/17和6/17,极差法去量纲化处理后加权出其综合评价模型,检验得出模型显著,拟合度好。基于粒子群算法对模型进行优化,得到在蒸汽水雾介质下的第二次电火花线切割最合适的加工参数。通过实验可得"乳化液-蒸汽水雾"大厚度工件的二次切割工艺与传统二次加工工艺相比,大厚度工件的多介质电火花的加工速度、直线度和表面粗糙度均有较大程度提升,很大的提高了电火花的加工质量和切削效率,满足大厚度工件的精加工要求。
The single factor test method was used in this experiment to analyze the influence of single factors on the surface quality and processing speed of workpieces with large thickness. Through multi-factor orthogonal test, the straightness model, the surface roughness model and the machining speed model of second WEDN of large thickness workpiece under steam water mist medium were established by using Matlab software. The weights of straightness, surface roughness and processing speed determined by order relationship analysis method are 5/17, 6/17 and 6/17, respectively.After de-dimension process by range method, the comprehensive evaluation model is weighted, and the model is found to be remarkable and the fitting degree is good. The model was optimized based on the particle swarm optimization algorithm to obtain the most suitable processing parameters for the second WEDM in steam water mist medium. Compared with the traditional secondary cutting process, the second cutting process with "emulsified liquid-steam mist" can greatly improve the processing speed, straightness and surface roughness of the multi-dielectric EDM of the large thickness workpiece, which greatly improves the processing quality and cutting efficiency of WEDM and meets the finishing requirements of large thickness workpieces.
The single factor test method was used in this experiment to analyze the influence of single factors on the surface quality and processing speed of workpieces with large thickness. Through multi-factor orthogonal test, the straightness model, the surface roughness model and the machining speed model of second WEDN of large thickness workpiece under steam water mist medium were established by using Matlab software. The weights of straightness, surface roughness and processing speed determined by order relationship analysis method are 5/17, 6/17 and 6/17, respectively.After de-dimension process by range method, the comprehensive evaluation model is weighted, and the model is found to be remarkable and the fitting degree is good. The model was optimized based on the particle swarm optimization algorithm to obtain the most suitable processing parameters for the second WEDM in steam water mist medium. Compared with the traditional secondary cutting process, the second cutting process with "emulsified liquid-steam mist" can greatly improve the processing speed, straightness and surface roughness of the multi-dielectric EDM of the large thickness workpiece, which greatly improves the processing quality and cutting efficiency of WEDM and meets the finishing requirements of large thickness workpieces.
引文
[1]顾延宾.气中电火花线切割加工工艺技术研究[D].哈尔滨:哈尔滨工业大学,2008:22-24.Gu Yanbin.Research on technology of electric spark wire cutting in gas[D].Harbin:Harbin Institute of Technology,2008:22-24.
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[3]C C Kao,Jia Tao,Albert J Shih.Near Dry Electrical Discharge Mach-ining[J].International Journal of Machine Tools&Manufacture,2007,47:2273-2281.
[4]C C Kao,J Tao,A J Shih.Water Mist Near Dry Wire and Drilling Electrical Discharge Machining and Gap Distance Modelling[C].Proceedings of the 15th International Symposium on Electro machining.Pittsburgh,USA,2007:281-286.
[5]Masanori Kunieda,Tsutomu Takaya,Shintaro Nakano.Improvement of dry EDM characteristics using piezoelectric actuator[J].Annals of the CIRP,2004,53(1):183-186.
[6]王彤,陈玉全.气中电火花线切割加工技术研究[J].机械工程学报,2003,39(8):76-80.Wang Wei,Chen Yuquan.Research on EDM wire cutting technology in gas[J].Journal of Mechanical Engineering,2003,39(8):76-80.
[7]谢飞.往复走丝线切割的水雾中粗加工试验及数据库研究[D]哈尔滨理工大学硕士论文,2014:14-31.Xie Fei.Rough processing test and database research in water mist for reciprocating wire cutting[D].Harbin University of Science and Technology,master thesis,2014:14-31.
[8]郭一璀.基于LVQ算法的水雾中线切割放电状态检测研究[D]哈尔滨理工大学硕士论文,2016:9-44.Guo Yicui.Research on water jet midline cutting discharge state detection based on LVQ algorithm[D].Harbin University of Science and Technology,master thesis,2016:9-44.
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[10]葛军.蒸汽水雾中电火花线切割精加工试验研究[D].哈尔滨理工大学硕士论文,2016:90-101.Ge Jun.Experimental study on electric discharge wire cutting finishing in steam water mist[D].Harbin University of Science and Technology,master thesis,2016:90-101.
[11]卢鑫.多介质下电火花线切割多次切割工艺研究[D].哈尔滨理工大学硕士论文,2016:1-50.Lu Xin.Research on multiple cutting process of WEDM under multimedia[D].Harbin University of Science and Technology,master's thesis,2016:1-50.
[12]瑞士夏米尔公司.精密数控浸水式慢走丝切割机床介绍[M].2006.Swiss Xiaer Company.Introduction of precision CNC water-immersed slow wire cutting machine[M].2006.
[13]刘志东.高速走丝电火花超高厚度切割工作液的研制[J].电加工与模具,2016,(1):25-27.Liu Zhidong.Development of high-speed wire EDM ultra-high thickness cutting working fluid[J].Electric Machining and Mould,2016,(1):25-27.
[14]杜炳荣,刘志东.高速走丝多次切割的试验研究[J].电加工,1994,(1):21-24.Du Bingrong,Liu Zhidong.Experimental study on high-speed wire cutting multiple times[J].Electro machining,1994,(1):21-24.
[15]郭崇文,李文斌.YG6硬质合金电火花线切割加工工艺参数研究[J].稀有金属与硬质合金,2015,43(3):67-70.Guo Chongwen,Li Wenbin.Study on process parameters of YG6 cemented carbide EDM[J].Rare Metals and Cemented Carbides,2015,43(3):67-70.
[16]刘红波,陆刚,边宽江.几种试验设计方法的比较[J].安徽农业科学,2007,35:738-739.Liu Hongbo,Lu Gang,Bian Kuanjiang.Comparison of several experimental design methods[J].Anhui Agricultural Sciences,2007,35:738-739.
[17]仇中柱,潘卫国,李芫.天然气再燃技术的正交试验与方差分析[J].锅炉技术,2009,40(2)):14-17.Qiu Zhongzhu,Pan Weiguo,Li Wei.Orthogonal test and analysis of variance for natural gas reburning technology[J].Boiler Technology,2009,40(2):14-17.
[18]王岩,隋思涟.试验设计与MATLAB数据分析[M].北京:清华大学出版社,2012:153-203.Wang Yan,Zhai Siwei.Experimental design and MATLAB data analysis[M].Beijing:Tsinghua University Press,2012:153-203.
[19]李润求,施式亮,念其锋,等.基于PSO-SVM的煤矿瓦斯爆炸灾害风险模式识别[J].中国安全科学学报,2013,5:38-43.Li Runqiu,Shi Shiliang,Nian Qifeng,et al.Pattern recognition of coal mine gas explosion hazard based on PSO-SVM[J].China Safety Science Journal,2013,5:38-43.
[20]杨宁霞,孙晧,公政,等.一种基于PSO-SVM的电能质量扰动识别与分类的新方法[J].电测与仪表,2014,16:17-20.Yang Ningxia,Sun Wei,Gong Zheng,et al.A new method based on PSO-SVM for power quality disturbance identification and classification[J].Electric Measuring&Instrumentation,2014,16:17-20.
[21]李东洁,李君祥,张越,等.基于PSO改进的BP神经网络数据手套手势识别[J].电机与控制学报,2014,8:87-93.Li Dongjie,Li Junxiang,Zhang Yue,et al.Gesture recognition of data gloves based on improved BP neural network based on PSO[J].Journal of Electric Machines and Control,2014,8:87-93.
[22]张婷,高晓智.PSO混合DE算法求解约束优化问题[J].微型机与应用,2014,17:83-87.Zhang Ting,Gao Xiaozhi.PSO Hybrid DE Algorithm for Constrained Optimization Problems[J].Microcomputer&Applications,2014,17:83-87.
[23]王学军,郭亚军,兰天.构造一致性判断矩阵的序关系分析法[J].东北大学学报,2006,01:115-118.Wang Xuejun,Guo Yajun,Lan Tian.Order relation analysis method of structural consistency judgment matrix[J].Journal of Northeastern University,2006,01:115-118.
[24]陈震,朱军华,余岭.一种基于改进PSO算法的结构损伤识别方法[J].振动与冲击,2012,05:17-20.Chen Zhen,Zhu Junhua,Yu Ling.A Structural damage identification method based on improved PSO algorithm[J].Journal of Vibration and Shock,2012,05:17-20.
[25]兰秀菊,张丽霞,鲁建厦,等.基于小波分析和PSO-SVM的控制图混合模式识别[J].浙江工业大学学报,2012,05:532-536.Lan Xiuju,Zhang Lixia,Lu Jianxia,et al.Mixed pattern recognition of control graph based on wavelet analysis and PSO-SVM[J].Journal of Zhejiang University of Technology,2012,05:532-536.
[26]覃星福,龚仁喜.基于广义S变换与PSO-PNN的电能质量扰动识别[J].电力系统保护与控制,2016,15:10-17.Xing Xingfu,Gong Renxi.Power quality disturbance identification based on generalized s transform and PSO-PNN[J].Power System Protection and Control,2016,15:10-17.
[27]赵鹏博,吕娜,陈柯帆.粒子群优化的时频联合资源分配算法[J]传感器与微系统,2016,05:135-138+145.Zhao Pengbo,LüNa,Chen Kefan.Time-frequency joint resource allocation algorithm based on particle swarm optimization[J].Journal of Sensors and Microsystems,2016,05:135-138+145.
[28]张培玲,张洪欣.基于改进PSO_GA联合算法的电力线多用户通信资源分配[J].计算机科学,2016,05:51-55.Zhang Peiling,Zhang Hongxin.Power line Multi-user communication resource allocation based on improved PSO_GA joint algorithm[J].Computer Science,2016,05:51-55.
[29]梅金平,张士兵,王海莲.基于PSO-GA算法的多用户OFDM系统资源分配[J].电视技术,2014,01:115-119.Mei Jinping,Zhang Yingjun,Wang Hailian.Resource allocation of multiuser OFDM system based on PSO-GA algorithm[J].Television Technology,2014,01:115-119.
[30]石岭,刘春生,叶青,等.基于PSO的无人机协同攻击动态资源分配[J].飞行力学,2014,04:368-371+375.Shi Ling,Liu Chunsheng,Ye Qing,et al.Dynamic resource allocation of UAV collaborative attack based on PSO[J].Journal of Flight Mechanics,2014,04:368-371+375.
[31]李淑芝,何兰兰.云环境下基于SLA的优化资源分配研究[J].计算机工程与应用,2015,11:57-61.Li Shuzhi,He Lanlan.Research on SLA-based optimization resource allocation in cloud environment[J].Computer Engineering and Applications,2015,11:57-61.
[32]王珂珂,吕强,赵汗青,等.求解工程约束优化问题的PSO-ABC混合算法[J].计算机应用研究,2012,04:1230-1233+1266.Wang Wei,Lu Qiang,Zhao Hanqing,et al.PSO-ABC hybrid algorithm for solving engineering constrained optimization problems[J].Journal of Computer Applications,2012,04:1230-1233+1266.
[33]王珂珂,吕强,赵汗青,等.基于PSO-ABC的混合算法求解复杂约束优化问题[J].系统工程与电子技术,2012,06:1193-1199.Wang Wei,Lu Qiang,Zhao Hanqing,et al.Hybrid algorithm based on PSO-ABC for solving complex constrained optimization problems[J].Systems Engineering and Electronics,2012,06:1193-1199.
[2]胥宏,张世凭,连帅梅.国内电火花线切割技术研发的探讨[J].成都工业学院学报,2013,12:39-42.Zhai Hong,Zhang Shiyin,Lian Shuaimei.Discussion on the research and development of domestic electric discharge wire cutting technology[J].Journal of Chengdu University of Technology,2013,12:39-42.
[3]C C Kao,Jia Tao,Albert J Shih.Near Dry Electrical Discharge Mach-ining[J].International Journal of Machine Tools&Manufacture,2007,47:2273-2281.
[4]C C Kao,J Tao,A J Shih.Water Mist Near Dry Wire and Drilling Electrical Discharge Machining and Gap Distance Modelling[C].Proceedings of the 15th International Symposium on Electro machining.Pittsburgh,USA,2007:281-286.
[5]Masanori Kunieda,Tsutomu Takaya,Shintaro Nakano.Improvement of dry EDM characteristics using piezoelectric actuator[J].Annals of the CIRP,2004,53(1):183-186.
[6]王彤,陈玉全.气中电火花线切割加工技术研究[J].机械工程学报,2003,39(8):76-80.Wang Wei,Chen Yuquan.Research on EDM wire cutting technology in gas[J].Journal of Mechanical Engineering,2003,39(8):76-80.
[7]谢飞.往复走丝线切割的水雾中粗加工试验及数据库研究[D]哈尔滨理工大学硕士论文,2014:14-31.Xie Fei.Rough processing test and database research in water mist for reciprocating wire cutting[D].Harbin University of Science and Technology,master thesis,2014:14-31.
[8]郭一璀.基于LVQ算法的水雾中线切割放电状态检测研究[D]哈尔滨理工大学硕士论文,2016:9-44.Guo Yicui.Research on water jet midline cutting discharge state detection based on LVQ algorithm[D].Harbin University of Science and Technology,master thesis,2016:9-44.
[9]尹洪石.水雾介质中线切割精加工特性及多次切割工艺建模研究[D].哈尔滨理工大学硕士论文,2015:20-24.Yin Hongshi.Research on the characteristics of line cutting finishing and multi-cutting process in water mist medium[D].Harbin University of Science and Technology,Master Thesis,2015:20-24.
[10]葛军.蒸汽水雾中电火花线切割精加工试验研究[D].哈尔滨理工大学硕士论文,2016:90-101.Ge Jun.Experimental study on electric discharge wire cutting finishing in steam water mist[D].Harbin University of Science and Technology,master thesis,2016:90-101.
[11]卢鑫.多介质下电火花线切割多次切割工艺研究[D].哈尔滨理工大学硕士论文,2016:1-50.Lu Xin.Research on multiple cutting process of WEDM under multimedia[D].Harbin University of Science and Technology,master's thesis,2016:1-50.
[12]瑞士夏米尔公司.精密数控浸水式慢走丝切割机床介绍[M].2006.Swiss Xiaer Company.Introduction of precision CNC water-immersed slow wire cutting machine[M].2006.
[13]刘志东.高速走丝电火花超高厚度切割工作液的研制[J].电加工与模具,2016,(1):25-27.Liu Zhidong.Development of high-speed wire EDM ultra-high thickness cutting working fluid[J].Electric Machining and Mould,2016,(1):25-27.
[14]杜炳荣,刘志东.高速走丝多次切割的试验研究[J].电加工,1994,(1):21-24.Du Bingrong,Liu Zhidong.Experimental study on high-speed wire cutting multiple times[J].Electro machining,1994,(1):21-24.
[15]郭崇文,李文斌.YG6硬质合金电火花线切割加工工艺参数研究[J].稀有金属与硬质合金,2015,43(3):67-70.Guo Chongwen,Li Wenbin.Study on process parameters of YG6 cemented carbide EDM[J].Rare Metals and Cemented Carbides,2015,43(3):67-70.
[16]刘红波,陆刚,边宽江.几种试验设计方法的比较[J].安徽农业科学,2007,35:738-739.Liu Hongbo,Lu Gang,Bian Kuanjiang.Comparison of several experimental design methods[J].Anhui Agricultural Sciences,2007,35:738-739.
[17]仇中柱,潘卫国,李芫.天然气再燃技术的正交试验与方差分析[J].锅炉技术,2009,40(2)):14-17.Qiu Zhongzhu,Pan Weiguo,Li Wei.Orthogonal test and analysis of variance for natural gas reburning technology[J].Boiler Technology,2009,40(2):14-17.
[18]王岩,隋思涟.试验设计与MATLAB数据分析[M].北京:清华大学出版社,2012:153-203.Wang Yan,Zhai Siwei.Experimental design and MATLAB data analysis[M].Beijing:Tsinghua University Press,2012:153-203.
[19]李润求,施式亮,念其锋,等.基于PSO-SVM的煤矿瓦斯爆炸灾害风险模式识别[J].中国安全科学学报,2013,5:38-43.Li Runqiu,Shi Shiliang,Nian Qifeng,et al.Pattern recognition of coal mine gas explosion hazard based on PSO-SVM[J].China Safety Science Journal,2013,5:38-43.
[20]杨宁霞,孙晧,公政,等.一种基于PSO-SVM的电能质量扰动识别与分类的新方法[J].电测与仪表,2014,16:17-20.Yang Ningxia,Sun Wei,Gong Zheng,et al.A new method based on PSO-SVM for power quality disturbance identification and classification[J].Electric Measuring&Instrumentation,2014,16:17-20.
[21]李东洁,李君祥,张越,等.基于PSO改进的BP神经网络数据手套手势识别[J].电机与控制学报,2014,8:87-93.Li Dongjie,Li Junxiang,Zhang Yue,et al.Gesture recognition of data gloves based on improved BP neural network based on PSO[J].Journal of Electric Machines and Control,2014,8:87-93.
[22]张婷,高晓智.PSO混合DE算法求解约束优化问题[J].微型机与应用,2014,17:83-87.Zhang Ting,Gao Xiaozhi.PSO Hybrid DE Algorithm for Constrained Optimization Problems[J].Microcomputer&Applications,2014,17:83-87.
[23]王学军,郭亚军,兰天.构造一致性判断矩阵的序关系分析法[J].东北大学学报,2006,01:115-118.Wang Xuejun,Guo Yajun,Lan Tian.Order relation analysis method of structural consistency judgment matrix[J].Journal of Northeastern University,2006,01:115-118.
[24]陈震,朱军华,余岭.一种基于改进PSO算法的结构损伤识别方法[J].振动与冲击,2012,05:17-20.Chen Zhen,Zhu Junhua,Yu Ling.A Structural damage identification method based on improved PSO algorithm[J].Journal of Vibration and Shock,2012,05:17-20.
[25]兰秀菊,张丽霞,鲁建厦,等.基于小波分析和PSO-SVM的控制图混合模式识别[J].浙江工业大学学报,2012,05:532-536.Lan Xiuju,Zhang Lixia,Lu Jianxia,et al.Mixed pattern recognition of control graph based on wavelet analysis and PSO-SVM[J].Journal of Zhejiang University of Technology,2012,05:532-536.
[26]覃星福,龚仁喜.基于广义S变换与PSO-PNN的电能质量扰动识别[J].电力系统保护与控制,2016,15:10-17.Xing Xingfu,Gong Renxi.Power quality disturbance identification based on generalized s transform and PSO-PNN[J].Power System Protection and Control,2016,15:10-17.
[27]赵鹏博,吕娜,陈柯帆.粒子群优化的时频联合资源分配算法[J]传感器与微系统,2016,05:135-138+145.Zhao Pengbo,LüNa,Chen Kefan.Time-frequency joint resource allocation algorithm based on particle swarm optimization[J].Journal of Sensors and Microsystems,2016,05:135-138+145.
[28]张培玲,张洪欣.基于改进PSO_GA联合算法的电力线多用户通信资源分配[J].计算机科学,2016,05:51-55.Zhang Peiling,Zhang Hongxin.Power line Multi-user communication resource allocation based on improved PSO_GA joint algorithm[J].Computer Science,2016,05:51-55.
[29]梅金平,张士兵,王海莲.基于PSO-GA算法的多用户OFDM系统资源分配[J].电视技术,2014,01:115-119.Mei Jinping,Zhang Yingjun,Wang Hailian.Resource allocation of multiuser OFDM system based on PSO-GA algorithm[J].Television Technology,2014,01:115-119.
[30]石岭,刘春生,叶青,等.基于PSO的无人机协同攻击动态资源分配[J].飞行力学,2014,04:368-371+375.Shi Ling,Liu Chunsheng,Ye Qing,et al.Dynamic resource allocation of UAV collaborative attack based on PSO[J].Journal of Flight Mechanics,2014,04:368-371+375.
[31]李淑芝,何兰兰.云环境下基于SLA的优化资源分配研究[J].计算机工程与应用,2015,11:57-61.Li Shuzhi,He Lanlan.Research on SLA-based optimization resource allocation in cloud environment[J].Computer Engineering and Applications,2015,11:57-61.
[32]王珂珂,吕强,赵汗青,等.求解工程约束优化问题的PSO-ABC混合算法[J].计算机应用研究,2012,04:1230-1233+1266.Wang Wei,Lu Qiang,Zhao Hanqing,et al.PSO-ABC hybrid algorithm for solving engineering constrained optimization problems[J].Journal of Computer Applications,2012,04:1230-1233+1266.
[33]王珂珂,吕强,赵汗青,等.基于PSO-ABC的混合算法求解复杂约束优化问题[J].系统工程与电子技术,2012,06:1193-1199.Wang Wei,Lu Qiang,Zhao Hanqing,et al.Hybrid algorithm based on PSO-ABC for solving complex constrained optimization problems[J].Systems Engineering and Electronics,2012,06:1193-1199.