空心阴极真空电弧焊接的引弧机理及参数优化

针对现有真空电弧焊接技术引弧过程的各关键因素没有明确标准,大部分依据经验来调节各因素的数值等问题,对真空电弧焊接设备的引弧过程影响因素进行了研究。以快速建立电弧、得到稳定引弧电流为目的,从电弧建立的基本机理入手,对氩气流量、击穿电压、击穿距离以及钽管直径等引弧过程中各影响因素进行了逐一分析。使用自适应神经模糊推理系统(adaptive neural network based fuzzy interference system,简称ANFIS)模型建立引弧最优参数预测模型,使用氩气流量、真空度、击穿距离及钽管直径作为模型输入,预测击穿电压最优值。通过现场实验,验证和完善了理论研究以及本研究参数预测模型的预测性能。结果表明,使用本研究的预测模型得到的系统参数进行引弧实验,引弧电流稳定,符合工艺要求。

Arc Mechanism and Parameter Prediction of Vacuum Arc Brazing Equipment

In the current research of vacuum arc brazing technology, there are problems that the key factors of arc ignition process are not clearly defined and the value of the factors is adjusted mostly based on experience. In this paper, the influencing factors of arc ignition process of vacuum arc brazing equipment are studied. To quickly build arc and get stable arc current, argon flow, breakdown voltage, breakdown distance and tantalum tube diameter cited various influential factors in the process of arc are analyzed one by one from the establishment of the basic mechanism. The optimal parameter prediction model is established based on adaptive neural network based fuzzy interference system(ANFIS) model. The argon flow, vacuum degree, the breakdown distance and the diameter of the tantalum tube as the prediction model input are used to predict the breakdown voltage optimal value. Through the field experiment, the theoretical research and the prediction performance of the parameter prediction model studied in this paper are verified and improved. The results show that the arc current in arc ignition process of vacuum arc brazing equipment is stable, which uses the parameters obtained from prediction model, and results meet process requirements.