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temper embrittlement     
相关语句
  回火脆性
    An analytical review concerning the main modifications in Ch. A Vol. Ⅱ of ASME code's 2004 edition is presented, with an introduction to materials newly included, as well as rules for evaluation and testing the temper embrittlement tendency of Cr-Mo steels mentioned in the code.
    对2 0 0 4版ASME锅炉和压力容器法规(ASME法规)第Ⅱ卷A篇的主要变动情况做了归纳总结和分析,介绍了新材料纳入ASME法规,以及法规中对铬钼钢回火脆性倾向的评定和试验规定,并列出了2 0 0 4版ASME法规第Ⅱ卷A篇的主要变动情况。
短句来源
  回火脆化
    Electrochemical reverse polarization method for temper embrittlement checking of turbine rotor steel
    电化学反向极化法检测汽轮机转子回火脆化的研究
短句来源
  热脆性
    Making use of Bayesian Neural network,a prediction model has been established for improving the accuracy of checking temper embrittlement of steam turbine rotor steel(30Cr2MoV) by the electrochemical potentiodynamic reaction(EPR) method.
    为提高电化学动电位再活化法(EPR)检测汽轮机转子钢(30Cr2MoV)热脆性的检测精度,利用Bayesian神经网络建立了预测模型。
短句来源
    Development of Nondestructive Inspecting of Temper Embrittlement of Turbine Rotor Steel
    汽轮机转子钢热脆性的非破坏性检测法的开发
短句来源
  热脆化
    Application of Bayesian Neural Network in the EPR Method for Checking Temper Embrittlement of Steam Turbine Rotor Steels
    Bayesian神经网络在EPR法检测汽轮机转子钢热脆化性能中的应用
短句来源
    BP ARTIFICIAL NEURAL NETWORK PREDICTION ON TEMPER EMBRITTLEMENT OF STEAM TURBINE ROTOR STEELS
    基于BP神经网络的汽轮机转子钢热脆化性能的预测
短句来源
    Research on Nondestructive Test Technique for Detecting Temper Embrittlement of Steam Turbine Rotor
    汽轮机转子热脆化的非破坏性检测法研究
短句来源
    The temper embrittlement of long-running turbine rotor steel mainly results from the phosphorus segregation in the grain boundary, and picric acid has a good selectivity to the phosphorus, produce the effect of intergranular attack, so the double loop EPR test was adopted to measure the reactive charge Qr in picric acid solution system.
    由于长时间运行的汽轮机转子钢的热脆化原因主要是P 在晶界的偏析,又由于苦味酸对P 有很好的腐蚀选择性并产生晶间腐蚀,所以在本项研究中,采用双环EPR 动电位再活化法在苦味酸系溶液中测得再活化电量。
短句来源
    Temper embrittlement is the third high-temperature damage type merely inferior to creep and fatigue of turbine materials.
    汽轮机材料的热脆化是仅次于高温蠕变和疲劳的第三大损伤形式。
短句来源
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      temper embrittlement
    Study on temper embrittlement control technique in steel 12Cr1MoV
          
    Failure may occur catastrophically by fracture along grain boundaries when temper embrittlement induced by non-equilibrium, grain-boundary segregation (NGS) of phosphorus atoms.
          
    Temper embrittlement control technique based on the theory of NGS and deformation induced phase transformation in low-alloy steel, 12CrlMoV (which is used in steam pipeline of ships), was experimentally investigated.
          
    Temper embrittlement may be controlled and obviously improved by grain refinement.
          
    Such steel is highly resistant to temper embrittlement and will thus facilitate increased efficiency in electricity generation through the use of higher operating temperatures and improvements in design.
          
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    This paper analyzes the mechanism of the temper embrittlement which happens in long-term used steam turbine rotor steel, points out the nondestructive inspecting method's application and problems for rotor steel, and expoundes on the development of electrochemical polarization method and chemical corrosion method. At last the opinion that how to improve the chemical corrosion method's precision is put forward.

    分析了长期运行的汽轮机转子钢热脆化产生的机理,指出转子钢热脆化的非破坏性检测法的应用价值及其存在的问题,并详细阐述了电化学分析法和化学腐蚀法这两种非破坏性检测法的开发过程,最后提出了提高化学腐蚀法检测精度的见解。

    An analytical review concerning the main modifications in Ch. A Vol.Ⅱ of ASME code's 2004 edition is presented, with an introduction to materials newly included, as well as rules for evaluation and testing the temper embrittlement tendency of Cr-Mo steels mentioned in the code. A list of the main modifications in included.

    对2 0 0 4版ASME锅炉和压力容器法规(ASME法规)第Ⅱ卷A篇的主要变动情况做了归纳总结和分析,介绍了新材料纳入ASME法规,以及法规中对铬钼钢回火脆性倾向的评定和试验规定,并列出了2 0 0 4版ASME法规第Ⅱ卷A篇的主要变动情况。

    Making use of Bayesian Neural network,a prediction model has been established for improving the accuracy of checking temper embrittlement of steam turbine rotor steel(30Cr2MoV) by the electrochemical potentiodynamic reaction(EPR) method.A model has been established that reflects the relationship between fracture appearance transition temperature(FATT_(50)) of rotor steel and electrochemical eigenvalues,temperature of the electrolyte,the steel's chemical ingredients,J parameter and crystal granularity N.The...

    Making use of Bayesian Neural network,a prediction model has been established for improving the accuracy of checking temper embrittlement of steam turbine rotor steel(30Cr2MoV) by the electrochemical potentiodynamic reaction(EPR) method.A model has been established that reflects the relationship between fracture appearance transition temperature(FATT_(50)) of rotor steel and electrochemical eigenvalues,temperature of the electrolyte,the steel's chemical ingredients,J parameter and crystal granularity N.The model's regularly trained Bayesian Neural Network was constructed by making use of data concerning the ratio of activating to reactivating peak current densities(I_a/I_r) of rotor steel(30Cr2MoV),temperature of the electrolyte,the rotor's steel chemical ingredient,J parameter and the crystal's granularity parameter N,obtained by the EPR method under sixty different temperature conditions of the picric electrolyte.The trained neural network was then used to predict the fracture appearance transition temperature of some new rotor steel material.Results showed that training errors of the neural network and verifying test errors were all within a scatter band of ±20℃,which is smaller than that obtainable by the multiple linear regression method.Thus the fracture appearance transition temperature of rotor steel can be predicted more accurately by means of Bayesian neural networks.Figs 3,tables 3 and refs 13.

    为提高电化学动电位再活化法(EPR)检测汽轮机转子钢(30Cr2MoV)热脆性的检测精度,利用Bayesian神经网络建立了预测模型。根据EPR法测定的60组不同苦味酸电解液温度下,30Cr2MoV转子钢的活化峰电流密度与再活化峰电流密度比(Ia/Ir)的数据、电解液温度、转子钢化学成分J参数和晶粒度参数(N),采用Bayesian正则化训练的神经网络,建立了转子钢脆性转变温度(FATT50)与电化学特征值、电解液温度、转子钢化学成分J参数和晶粒度参数(N)之间的映射模型。利用训练好的网络预测了新的转子钢材料的脆性转变温度。结果表明:网络的训练误差和检验误差都在±20℃范围内,小于多元线性回归法得到的误差。因此,Bayesian神经网络能较准确地用来预测转子钢材料的脆性转变温度。图3表3参13

     
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