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稀土作为“工业味精”已应用到用量较大的结构钢焊条中,该领域的研究大部分属定性研究,少部分是定量研究但具有局限性。以焊条作为填充金属的各种熔焊方法中,在一定的焊接工艺参数下,熔敷金属力学性能取决于焊条的原材料。原材料各组分之间存在着化学、冶金等诸多因素的非线性效应和强耦合过程,没有固定的函数关系可遵循,采用模糊神经网络技术对含稀土的熔敷金属力学性能进行预测更能揭示问题的本质。本文对含稀土的熔敷金属力学性能预测研究进行了总结,分析了含稀土的熔敷金属力学性能预测存在的问题和解决方法,提出今后的研究重点。
Rare earth as “industrial MSG ” has been applied to a large amount of structural steel electrode, most of the research in this area is a qualitative research, a small amount of quantitative research but has limitations. Welding electrodes as a filler metal in a variety of welding methods, in a certain welding process parameters, mechanical properties of deposited metal depends on the electrode of raw materials. Non-linear effects and strong coupling processes of chemical, metallurgical and other factors exist between the components of the raw materials. There is no fixed function relationship to be followed. The prediction of the mechanical properties of the deposited metals containing rare earth can be more revealed by adopting the fuzzy neural network The nature of the problem. This paper summarizes the prediction of the mechanical properties of the deposited metals containing rare earths, analyzes the problems existing in the prediction of the mechanical properties of the deposited metals containing rare earths and their solutions, and puts forward the research focuses in the future.