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老化30Cr2MoV汽轮机转子钢FATT预测模型的建立 被引量:1

Foundation of the Predicting Model on the Aged 30Cr2MoV Steam Turbine Rotor
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摘要 实验选用化学腐蚀法预测老化30Cr2MoV汽轮机转子钢的热脆化程度,用苦味酸添加十二烷基苯磺酸钠(SD-BS)作为蚀刻液进行化学腐蚀实验。通过正交实验确定较理想实验条件,并在此实验条件下,对12个具有不同韧脆转变温度的试样进行不同温度下的腐蚀实验,找出各温度下晶界宽度参数与FATT50之间的对应关系,确定回归参数,用统计分析软件SPSS对所得数据进行多元线性回归分析,得出老化汽轮机转子钢FATT50的预测模型,经验证明该模型预测精度在±20℃之内,精度较高。 The solution of picric acid and sodium dodecyl benzene sulfonate (SDBS) is used to corrode the aged turbine rotor steel samples, It supplies a better corroding conditions to determine the embrittlement degree of material using the methord of forming film. The best experiment conditions were determined by using the orthogonal test together with the observation to the microstructures of the aged turbine rotor steel specimen: saturated picric acid, 0. 005mol/L sodium dodecyl benzene sulfonate, pH2.0, 35 min and 25℃. It is discovered that the significance of the effect of this 5 factors on the wide of grain boundary is picric acid concentration, pH value, SDBS concentration, temperature, time. It is determined the effect factors of the FATT50, measured and analysed the microstructure of samples by the Photoshop ; used the SPSS to do multiple linear regression analysis and built the model of predicting the FATT50 ; validated the model by samples A2, A2a, the prediction errors is in ± 20℃.
出处 《汽轮机技术》 北大核心 2008年第1期74-77,共4页 Turbine Technology
关键词 老化 汽轮机转子钢 FATT 多元线性回归分析 aged turbine rotor steel FATT multiple linear regression analysis
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