摘要
用人工神经网络模型研究了药芯焊丝焊接材料的焊接工艺性能与焊接材料的基本配方、焊接工艺参数之间的关系 ,结合BP遗传算法计算了YJ657药芯焊丝焊接工艺性能最佳时药芯焊丝药芯粉的配比 .提出了表征焊缝金属成型、焊接飞溅率和焊缝金属脱渣率的数值方法 ,并应用于药芯焊丝的研制 .
The welding usability of flux cored wires and the relations between the basic flux percentages and welding process parameters are studied with the help of artificial neural network. The flux percentages of flux cored wire have been calculated with genetic algorithm for optimized welding properties of YJ657 flux cored wire. The algebraic method described the appearance of weld, welding spatter loss coefficient and slag detachability of weld is put forward and applied to the development of flux cored wires.
出处
《华中理工大学学报》
CSCD
北大核心
2000年第4期1-3,共3页
Journal of Huazhong University of Science and Technology
关键词
人工神经网络
药芯焊丝
焊接工艺性能
建模
artificial neural network (ANN)
flux cored wire
welding usability
