| 基于神经网络模型的P-GMAW焊缝成形过程仿真 |
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| 引用本文： | 闫志鸿,张广军,吴林,宋永伦.基于神经网络模型的P-GMAW焊缝成形过程仿真[J].焊接学报,2011,32(1):52-56. |
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| 作者姓名： | 闫志鸿 张广军 吴林 宋永伦 |
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| 作者单位： | 1. 北京工业大学机电学院,北京,100124
2. 哈尔滨工业大学现代焊接生产技术国家重点实验室,哈尔滨,150001 |
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| 摘 要： | 脉冲熔化极气体保护焊(P-GMAW)是一种高效、适应性强的焊接方法之一,在工业生产中得到了广泛的应用.文中以低碳钢P-GMAW为对象,研究其焊缝成形过程的建模与仿真方法.文中首先利用BP神经网络,建立了该过程的动态模型,然后利用该模型的稳态与动态仿真揭示了P-GMAW过程的成形规律.同时,文中提出了一种利用神经网络模型...
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| 关 键 词： | 脉冲熔化极气体保护焊 焊缝成形 动态建模 仿真 |
| 收稿时间： | 2010/3/21 0:00:00 |
Simulation of welding shape process in P-GMAW based on neural network models |
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| YAN Zhihong,ZHANG Guangjun,WU Lin and SONG Yonglun.Simulation of welding shape process in P-GMAW based on neural network models[J].Transactions of The China Welding Institution,2011,32(1):52-56. |
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| Authors: | YAN Zhihong ZHANG Guangjun WU Lin and SONG Yonglun |
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| Affiliation: | College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China,State Key Laboratory of Advanced Welding Production Technology, Harbin Institute of Technology, Harbin 150001, China,State Key Laboratory of Advanced Welding Production Technology, Harbin Institute of Technology, Harbin 150001, China and College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China |
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| Abstract: | As one of efficient and good-adaptability welding methods,pulsed gas metal arc welding(P-GMAW) has been applied in industrial production widely.In this paper,the modeling and simulation methods in P-GMAW shape process of low carbon steel were studied.Firstly,a series of BP neural network dynamic models were established for P-GMAW shape process;then stable-state and dynamic simulations were implemented with these modes to reveal the welding form rules in P-GMAW.Meanwhile,this paper proposes a method that using the neural network model to investigate the relationship between the top side weld pool characterized parameters and the backside weld pool width.With the proposed methods,the validity and reliability of the topside weld pool characteristic parameters were verified.The methods and results of these modeling and simulation provide the conditions for exploring the welding shape rules and designing the welding process controllers. |
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| Keywords: | P-GMAW welding shape dynamic modeling simulation |
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