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基于人工神经网络的药芯焊丝焊接工艺研究
引用本文:余圣甫,李志远,王福德,吴伟.基于人工神经网络的药芯焊丝焊接工艺研究[J].华中科技大学学报(自然科学版),2000,28(4):1-3.
作者姓名:余圣甫  李志远  王福德  吴伟
作者单位:华中理工大学材料科学与工程学院
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 .

关 键 词:人工神经网络  药芯焊丝  焊接工艺性能
修稿时间:1999-10-13

Based on ANN Optimization of Welding Properties in Flux Cored Wires
Yu Shengfu,Li Zhiyuan,Wang Fude,Wu Wei.Based on ANN Optimization of Welding Properties in Flux Cored Wires[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2000,28(4):1-3.
Authors:Yu Shengfu  Li Zhiyuan  Wang Fude  Wu Wei
Institution:Yu Shengfu Li Zhiyuan Wang Fude Wu Wei
Abstract: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.
Keywords:artificial neural network (ANN)  flux  cored wire  welding usability
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