Jia Aiting, Luo Yifang, Hong Bo, Li Xiangwen, Yin Li, Luo Mina
Schoool of Mechanical Engineering and Mechanics, Xiangtan University, Xiangtan 411105, China.
Engineering Research Center of Complex Track Processing Technology & Equipment, Ministry of Education, Xiangtan University, Xiangtan 411105, China.
Sensors (Basel). 2024 Mar 17;24(6):1924. doi: 10.3390/s24061924.
Droplet transfer frequency is a decisive factor in welding quality and efficiency in gas tungsten arc welding (GTAW). However, there still needs to be a monitoring method for droplet transfer frequency with high precision and good real-time performance. Therefore, a real-time monitoring method for droplet transfer frequency in wire-filled GTAW using arc sensing is proposed in this paper. An arc signal acquisition system is developed, and the wavelet filtering method filters out noise from the arc signal. An arc signal segmentation method-based on the OTSU algorithm and a feature extraction method for droplet transition based on density-based spatial clustering of applications with noise (DBSCAN)-is proposed to extract the feature signal of the droplet transition. A new conception of droplet transition uniformity is proposed, and it can be used to monitor the weld bead width uniformity. Numerous experiments for monitoring droplet transfer frequency in real time are conducted with typical welding parameters. This method enables the real-time observation of droplet transfer frequency, and the result shows that the average monitoring error is less than 0.05 Hz.
熔滴过渡频率是钨极气体保护电弧焊(GTAW)焊接质量和效率的决定性因素。然而,仍需要一种高精度且实时性能良好的熔滴过渡频率监测方法。因此,本文提出了一种基于电弧传感的填丝GTAW熔滴过渡频率实时监测方法。开发了电弧信号采集系统,并采用小波滤波方法滤除电弧信号中的噪声。提出了一种基于大津算法的电弧信号分割方法和一种基于密度空间聚类应用(DBSCAN)的熔滴过渡特征提取方法,以提取熔滴过渡的特征信号。提出了熔滴过渡均匀性的新概念,可用于监测焊缝宽度均匀性。采用典型焊接参数进行了大量实时监测熔滴过渡频率的实验。该方法能够实时观测熔滴过渡频率,结果表明平均监测误差小于0.05Hz。