Realizing of weld penetration control in gas tungsten arc welding requires establishment of a model describing the relationship between the front-side geometrical parameters of weld pool and the back-side weld width w...Realizing of weld penetration control in gas tungsten arc welding requires establishment of a model describing the relationship between the front-side geometrical parameters of weld pool and the back-side weld width with sufficient accuracy. A neural network model is developed to attain this aim. Welding experiments are conducted to obtain the training data set （including 973 groups of geometrical parameters of the weld pool and back-side weld width） and the verifying data set （108 groups）. Two data sets are used for training and verifying the neural network, respectively. The testing results show that the model has sufficient accuracy and can meet the requirements of weld penetration control.展开更多
Presents penetration control by weld pool resonance which occurs when the natural frequency of weld pool is equal to the frequency of sine wave current while the weld pool is excited into oscillation by superimposing ...Presents penetration control by weld pool resonance which occurs when the natural frequency of weld pool is equal to the frequency of sine wave current while the weld pool is excited into oscillation by superimposing sine wave current with definite frequency or regular frequency on DC current, and experiments carried out on detecting resonance signals during both stationary and travelling arc welding with variant frequency pulse current, and concludes with experimental results that penetration control can be realized by weld pool resonance when welding speed is lower than 80mm/min, and this control method is applicable to welding thin (0.5～3.0 mm) plates of carbon steel, low alloy steel, high strength steel and superhigh strength steel, and suitable for alternating polarity welding of stainless steel, titanium alloy steel and aluminum alloy.展开更多
针对脉冲熔化极气体保护焊(Pulsed gas metal arc welding, GMAW-P)过程中焊接熔深的实时控制,使用脉冲峰值期间的电压变化幅值(ΔU)来表征焊接熔深变化,并且通过测量和控制ΔU的大小来间接达到熔深控制的目的。建立了以ΔU为输出和脉...针对脉冲熔化极气体保护焊(Pulsed gas metal arc welding, GMAW-P)过程中焊接熔深的实时控制,使用脉冲峰值期间的电压变化幅值(ΔU)来表征焊接熔深变化,并且通过测量和控制ΔU的大小来间接达到熔深控制的目的。建立了以ΔU为输出和脉冲基值电流为输入的单输入单输出熔深控制系统。系统输入输出之间的静态关系模型显示该熔深控制系统具有一定非线性,因此,采用加入干扰的Hammerstein模型描述该非线性系统。在基于该Hammerstein模型的经典预测控制算法基础上,在控制过程中加入递推最小二乘法在线辨识模型参数,从而实现焊接熔深自适应控制。控制算法仿真和实时焊接试验表明该熔深控制算法能够较好地实现GMAW-P焊接过程中的熔深控制。变散热试验结果验证了该控制算法的有效性和适应性。展开更多
基金the Shandong Provincial Natural Science Foundation of China （No. Z2003F05 ）.
文摘Realizing of weld penetration control in gas tungsten arc welding requires establishment of a model describing the relationship between the front-side geometrical parameters of weld pool and the back-side weld width with sufficient accuracy. A neural network model is developed to attain this aim. Welding experiments are conducted to obtain the training data set （including 973 groups of geometrical parameters of the weld pool and back-side weld width） and the verifying data set （108 groups）. Two data sets are used for training and verifying the neural network, respectively. The testing results show that the model has sufficient accuracy and can meet the requirements of weld penetration control.
文摘Presents penetration control by weld pool resonance which occurs when the natural frequency of weld pool is equal to the frequency of sine wave current while the weld pool is excited into oscillation by superimposing sine wave current with definite frequency or regular frequency on DC current, and experiments carried out on detecting resonance signals during both stationary and travelling arc welding with variant frequency pulse current, and concludes with experimental results that penetration control can be realized by weld pool resonance when welding speed is lower than 80mm/min, and this control method is applicable to welding thin (0.5～3.0 mm) plates of carbon steel, low alloy steel, high strength steel and superhigh strength steel, and suitable for alternating polarity welding of stainless steel, titanium alloy steel and aluminum alloy.
基金国家自然科学基金项目61365011陇原青年创新性人才扶持计划项目+5 种基金甘肃省高校基本科研业务费专项项目兰州理工大学红柳杰出人才培养计划项目J201201资助Supported by National Natural Science Foundation of China(No.61365011)Young Creative Talent Support Program of Long Yuan of ChinaSpecialized Basic Scientific Research Program of University of Gansu ProvinceHong Liu Outstanding Talent Training Plan of Lanzhou University of Technology(No.J201201)
文摘针对脉冲熔化极气体保护焊(Pulsed gas metal arc welding, GMAW-P)过程中焊接熔深的实时控制,使用脉冲峰值期间的电压变化幅值(ΔU)来表征焊接熔深变化,并且通过测量和控制ΔU的大小来间接达到熔深控制的目的。建立了以ΔU为输出和脉冲基值电流为输入的单输入单输出熔深控制系统。系统输入输出之间的静态关系模型显示该熔深控制系统具有一定非线性,因此,采用加入干扰的Hammerstein模型描述该非线性系统。在基于该Hammerstein模型的经典预测控制算法基础上,在控制过程中加入递推最小二乘法在线辨识模型参数,从而实现焊接熔深自适应控制。控制算法仿真和实时焊接试验表明该熔深控制算法能够较好地实现GMAW-P焊接过程中的熔深控制。变散热试验结果验证了该控制算法的有效性和适应性。
