Intelligent methodology for sensing, modeling and control of pulsed GTAW : Part 1 : Bead-on-plate welding
Intelligent methodology for sensing, modeling and control of pulsed GTAW : Part 1 : Bead-on-plate welding
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发表时间：
2000
期刊：
影响因子：
2.2
通讯作者：
S. B. Chen;Y. Lou;L. Wu;Dongbin Zhao
中科院分区：
文献类型：
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作者：
S. B. Chen;Y. Lou;L. Wu;Dongbin Zhao
本文研究了智能化技术在堆焊质量控制中的应用。提出了一种新的双面视觉传感系统，该系统能够在同一帧中同时对熔池的正面和背面进行成像，以确定熔池的几何参数。从光谱分布的角度分析了成像原理，在基电流作用下，利用电弧光照明熔池，获得清晰的图像。定义了描述熔池几何形状的双面尺寸参数，并利用所开发的图像处理算法进行了真实的实时确定。通过阶跃响应识别了脉冲占空比和焊接速度等焊接参数对焊缝几何形状的影响。在此基础上，建立了基于焊接工艺参数和顶侧尺寸参数的背侧宽度动态预测神经网络模型。仿真结果验证了模型的正确性，并对焊接过程的特点进行了分析。针对板上焊道脉冲GTAW焊接过程，研究了单输入单输出的常规控制方法和智能控制方法，通过比较，验证了神经元自学习PSD控制具有更好的性能，适合实际应用。
This study addresses intelligent techniques for fulfilling quality control of bead-on-plate welding. A new visual double-sided sensing system capable of imaging the weld pool topside and backside simultaneously in a frame was provided to determine the weld pool geometry parameters. The imaging principle was analyzed with spectrum distribution, in which the weld pool was illu minated by arc light emission to receive a clear image under base current. Double-sided size parameters describing weld pool geometry were defined anc determined in real time with the devel oped image processing algorithm. The influences of welding parameters such as pulse duty ratio and travel speed on weld bead geometry were identified by step response. Based on the analysis, a neural network model of the dynamic process was established for predicting the back side width with the welding parameters and topside size parameters. The simula tion results indicated the accuracy of the model, and the characteristics of the welding process were analyzed carefully, Aiming at the bead-on-plate pulsec GTAW process, conventional and intelli gent control methods of single input and single output were investigated, and the neuron self-learning PSD control was verified with better performance for practical application through comparisons.