This paper discussed the application of artificial neural network at the resistance spot welding of aluminum alloy. 针对铝合金的电阻点焊(RSW),研究了人工神经网络在点焊质量估测中的应用。
Multi-information sampling system of resistance spot welding quality based on dual-microprocessor has been designed in this paper. 本论文设计了基于双处理器的点焊质量多信息采集系统。
Resistance spot welding of aluminum alloy with great resistance medium; 介绍了在实验室中测大电阻的一种方法。
The structure and designing idea of resistance spot welding fuzzy controller based on DSP are presented in this paper. 文章提出基于DSP电阻点焊(RSW)模糊控制器的结构和设计思想。
One nondestructive evaluating method of galvanized sheet quality in resistance spot welding 一种镀锌板电阻点焊(RSW)质量的无损评判方法