STUDY ON HOT EMBRITILEMENT PERFORMANCE OF THE AGED 30Cr2MoV TURBINE ROTOR STEEL BY USING CHEMICAL CORROSION METHOD

CHENG Ying-min; WANG Ya-hui; ZHANG Sheng-hanNorth China Electric Power University

doi:10.19666/j.rlfd.2007.10.005

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STUDY ON HOT EMBRITILEMENT PERFORMANCE OF THE AGED 30Cr2MoV TURBINE ROTOR STEEL BY USING CHEMICAL CORROSION METHOD

更新时间：2025-09-28

- STUDY ON HOT EMBRITILEMENT PERFORMANCE OF THE AGED 30Cr2MoV TURBINE ROTOR STEEL BY USING CHEMICAL CORROSION METHOD
- Thermal Power Generation Issue 10, Pages: 18-22(2007)
- 作者机构：
  
  华北电力大学
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2007.10.005
  CLC： TK263.61
- Published：2007
- 稿件说明：
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CHENG Ying-min, WANG Ya-hui, ZHANG Sheng-hanNorth China Electric Power University. STUDY ON HOT EMBRITILEMENT PERFORMANCE OF THE AGED 30Cr2MoV TURBINE ROTOR STEEL BY USING CHEMICAL CORROSION METHOD[J]. Thermal power generation, 2007, (10): 18-22.
DOI：

CHENG Ying-min, WANG Ya-hui, ZHANG Sheng-hanNorth China Electric Power University. STUDY ON HOT EMBRITILEMENT PERFORMANCE OF THE AGED 30Cr2MoV TURBINE ROTOR STEEL BY USING CHEMICAL CORROSION METHOD[J]. Thermal power generation, 2007, (10): 18-22. DOI： 10.19666/j.rlfd.2007.10.005.

摘要

选用苦味酸添加十二烷基苯磺酸钠(SDBS)作为蚀刻液对老化汽轮机转子钢试样进行侵蚀。通过正交试验及老化汽轮机转子钢试样的微观结构

确定最佳试验条件为:饱和苦味酸溶液、SDBS0.005 mol/L、pH值2.0、时间35 min、温度25℃。试验结果表明

5个因素对晶界宽度影响的顺序为:苦味酸浓度、pH值、SDBS浓度、温度、时间。利用Photoshop对转子钢试样微观结构进行测量分析

确定出韧脆转变温度(FATT)的影响因素;用SPSS软件进行多元线性回归分析

建立了FATT50预测模型;用A2、A2a两个试样对模型进行验证

其误差在±20℃之内。

Abstract

The solution of picric acid and sodium dodecyl benzene sulfonate(SDBS) has been used to corrode the aged turbine rotor steel sample. Through orthoganal test and observation of the microstructure for the aged turbine rotor steel specimen

the optimal test condition has been determined

i.e.a saturated picric acid solution

SDBS 0.005 mol/L

pH 0.2

35 min

and 25 ℃.Results show that the sequence of five affecting factors upon the width of grain boundary is as follows: picric acid concentration

pH value

SDBS concentration

temperature

and time.The microstructure of samples has been measured and analysed by using the Photoshop instrument

the affecting factors upon the Fracture Appearance Transition Temperature(FATT) being determined;a multiple linear regression analysis has been carried out by using SPSS

and the FATT50 prediction model being established.The model has been verified by using two samples

i.e.A2 and A2a

the prediction errors to be in a range of ±20 ℃.

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