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Fe-Cr-Ni合金碱性SCC的电化学预测方法
引用本文:黄春波,吕战鹏,杨武.Fe-Cr-Ni合金碱性SCC的电化学预测方法[J].电化学,2003,9(3):292-298.
作者姓名:黄春波  吕战鹏  杨武
作者单位:上海材料研究所,上海材料研究所,上海材料研究所 上海200437 ,上海200437 ,上海200437
基金项目:国家重点基础研究专项 (G1 9990 6 5 0 ),科技部科研院所社会公益专项,上海市青年科技启明星项目 (0 0QE1 4 0 2 1 )资助
摘    要:应用动电位扫描研究了Fe_Cr_Ni合金 (80 0M)C形环在含硫代硫酸钠杂质的热浓碱溶液中的应力腐蚀破裂 (SCC)行为 .测量了 80 0M合金试片与C形环试样恒电位极化时的稳态溶解电流ist,据此绘制了简化模拟“稳态”恒电位极化曲线 ,并将该极化曲线的ist与低电位下的稳态钝化电流ip之比 (RPD=ist/ip)定义为极化溶解敏感指数 .发现 80 0M合金C形环发生碱性SCC的电位区 (E =- 30~ 4 0mV)处于慢扫阳极极化曲线的钝化区 ,并对应于快扫极化曲线的钝化_过钝化溶解转变区 ;在该敏感电位区 ,试片与C环形试样的ist位于简化的模拟稳态恒电位极化曲线的过钝化区 ,试片与C形环试样两者的极化溶解敏感指数值很接近 (分别为 2 .5 5~ 7.0 3和 2 .5 2~ 6 .0 0 ) .综合稳态溶解电流密度 ,极化溶解敏感指数等有关信息 ,提出了一种碱性SCC的电化学预测方法

关 键 词:Fe_Cr_Ni合金(800M)  稳态溶解电流密度  极化溶解敏感指数  碱性SCC  电化学预测  
文章编号:1006-3471(2003)03-0292-07
收稿时间:2003-08-28
修稿时间:2002年12月7日

An Electrochemical Prediction Method for Caustic SCC of Fe-Cr-Ni Alloy
HUANG Chun_bo,LU Zhan_peng,YANG Wu.An Electrochemical Prediction Method for Caustic SCC of Fe-Cr-Ni Alloy[J].Electrochemistry,2003,9(3):292-298.
Authors:HUANG Chun_bo  LU Zhan_peng  YANG Wu
Abstract:Stress corrosion cracking (SCC) of Fe_Cr_Ni alloy (alloy 800 M) in hot concentrated caustic solution was investigated by means of tests of C_rings under controlled potentials. The steady dissolution current densities( i st ) of the plate specimens and C_rings polarized potentiostatically were measured. The simplifed steady potentiostatical curves were drawn on the basis of i st . The ratio R PD measured from i st and steady passive current density i p at low potentials ( R PD = i st / i p ) was designed as a polarization dissolution susceptibility parameter. The parameter R PD values of both plate and C_ring specimens were similar to SCC sensetive potentials of C_rings between-30 mV/SCE and 40 mV/SCE. An Electrochemical prediction method for caustic SCC was proposed basd on the electrochemical characters synthesizing i st and R PD .
Keywords:Fe_Cr_Ni alloy  Steady dissolution current  Polarization dissolution susceptibility parameter  Caustic stress corrosion cracking  Electrochemical prediction
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