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A Real-Time Prediction Model of Electrode Extension for GMAW

机译:GMAW电极延伸的实时预测模型

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This paper presents the development of an electrode extension model for the gas metal arc welding process based on the process voltage. The full dynamic model for the electrode extension is derived by combining a dynamic resistivity model with the voltage model. The electrode extension model was found to be represented mathematically by a nonlinear, time-varying, second-order ordinary differential equation. This model can be used in through-the-arc sensing and arc length control systems. To experimentally verify the model the process dynamics were excited by a continuous sinusoidal variation of arc current. Using a constant current power source with the electrode positive, sinusoidal perturbations of variable amplitude were superimposed on the current to allow direct measurement of changes in electrode extension, arc length, and total voltage. A high-speed video system was used to capture the experimental electrode extension dynamics. The model was verified by comparing the frequency response of the model to the frequency response of the real process. Agreement between the simulations and the experimental results was found to be very good. The accuracy of this model was found to be approximately ±0.6 mm, which is considered to be suitable for process control applications.
机译:本文介绍了基于工艺电压的气体保护金属电弧焊工艺的电极扩展模型的开发。通过将动态电阻率模型与电压模型相结合,可以得出电极延伸的完整动态模型。发现电极延伸模型可以用非线性的,时变的,二阶常微分方程来数学表示。该模型可用于电弧感应和电弧长度控制系统。为了实验验证该模型,通过电弧电流的连续正弦变化来激发过程动力学。使用带有正电极的恒流电源,将可变幅度的正弦扰动叠加在电流上,以直接测量电极延伸,电弧长度和总电压的变化。高速视频系统用于捕获实验电极延伸动力学。通过将模型的频率响应与实际过程的频率响应进行比较来验证模型。发现仿真与实验结果之间的一致性非常好。发现该模型的精度约为±0.6 mm,被认为适合于过程控制应用。

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