• DocumentCode
    3357537
  • Title

    Predict the Temper Embrittlement Extent of Turbine Rotor Steel by Using Chemical Corrosion Method

  • Author

    Chen Ying-Min ; Long Yuan ; Han Zhong-Ge ; Ya-Hui

  • Author_Institution
    Sch. of Environ. Sci. & Eng., North China Electr. Power Univ., Baoding
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The segregation of phosphorus on steel grain boundary will lead to temper embrittlement, and turbine rotor steel´s FATT (Fracture Appearance Transition Temperature) will raise. In this test the solution of picric acid and SDBS (sodium dodecyl benzene sulfonate) were used to corrode the turbine rotor steel sample. Phosphorus on grain boundary can be prior dissolve, so the grain boundary corrosion happen. After etch, width of etch groove on the grain boundary were measured and analyze by Photoshop. Then find out all relevant parameters with FATT which represents the degree of temper embrittlement. And then the predict model of FATT was established by make multiple linear regression analysis on all relevant parameters. The verifying experiment show that the model´s error range is about plusmn20degC.
  • Keywords
    corrosion; embrittlement; phosphorus; regression analysis; rotors; sodium compounds; steel; turbines; FATT; FeCSiMnSCrMoCuSnSbJk; chemical corrosion method; fracture appearance transition temperature; multiple linear regression analysis; phosphorus; sodium dodecyl benzene sulfonate; steel grain boundary; temper embrittlement extent; turbine rotor steel; Chemicals; Corrosion; Etching; Grain boundaries; Linear regression; Predictive models; Steel; Temperature; Testing; Turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918622
  • Filename
    4918622