提出一种基于参数监测和信息处理保证电阻点焊接头质量的计算机软件系统实现方法。
A method is proposed to design the computer software that is used to assure joint quality of resistant spot welding based on parameters monitoring and information processing.
然后将试验得到的大量点焊工艺参数与相应点焊接头质量的试验数据提供给神经网络学习。
Then a lot of experimental data about welding parameters and corresponding spot welding quality were supplied to the ANN for training.
将人工神经网络技术(ANN)引入点焊领域，建立了点焊工艺参数选择ann系统和点焊接头质量预测ann系统。
This paper proposes a procedure for artificial neural network (ANN) in spot welding, and establishes spot welding parameter selecting ANN systems and spot welding joint quality predicting ANN systems.
结果表明，该方法的检测结果可靠，不仅能对汽车车身点焊接头进行100%的快速无损检测，而且适用于任何金属薄板点焊接头质量的检验。
Test results showed this method is credible, and it can be used to inspect the spot weld quality of car bodies quickly by 100%, and inspect the spot welding quality of any sheet metal.
试验结果表明：电极深冷处理改善了镀锌钢板点焊工艺，提高了点焊接头强度，从而提高了点焊质量。
The results showed that electrode by cryogenic treatment could visibly improve the spot welding procedure and raise joint strength for galvanized sheet.
采用水浸超声聚焦直入射法对镀锌薄钢板点焊接头进行了质量评价。
The quality of spot welds in galvanized sheet metal was evaluated by using ultrasonic water immersion focusing method.
采用水浸超声聚焦直入射法对镀锌薄钢板点焊接头进行了质量评价。
The quality of spot welds in galvanized sheet metal was evaluated by using ultrasonic water immersion focusing method.
应用推荐