摘要
在试验的基础上,用人工神经网络建立了高强高韧性管线钢埋弧焊熔敷金属力学性能的预测模型。该模型预测的结果与试验值之间有很好的对应关系。模型的研究为熔敷金属力学的成分、性能设计和控制提供了有效的手段。
a mechanical property of deposition metal prediction model for submerged arc welding high strength and toughness pipeline steels was established upon the experimental data with the aid of artificial neural network(ann).there are good correlations betweenThe predicted results and the experimental datas.researches in this model provide a reliable means for deposition metal control and design.
出处
《电焊机》
2004年第7期8-10,共3页
Electric Welding Machine
基金
国家973基金资助项目(G1998061511)
关键词
管线钢
埋孤焊
熔敷金属
人工神经网络
力学性能
pipeline steel
submerged arc welding
deposition metals
artificial neural network
mechanical property