硫酸盐还原菌诱导腐蚀的电化学噪声分析  

Electrochemical noise analysis of corrosion induced by sulfate-reducing bacteria

作　　者：门洪[1] 张丽华[1] 张静[1] 李秀杰[1] 徐志明[1] 

机构地区：[1]东北电力大学自动化工程学院,吉林吉林132012

出　　处：《化学工程》2013年第2期18-22,共5页Chemical Engineering(China)

基　　金：国家重点基础研究973计划项目(2007CB206904)

摘　　要：基于电化学噪声(EN)和信号处理研究硫酸盐还原菌(SRB)对304不锈钢诱导的腐蚀。将304不锈钢电极分别置于硫酸盐还原菌接种前后的培养基中,利用电化学工作站分别对2种试样的腐蚀进程进行电化学噪声测量,将测得的噪声数据去除直流漂移,再对这些数据进行时域、频域和小波分析。结果表明:通过时域分析得到的标准偏差和噪声电阻可表征腐蚀速率,局部因子则可以区分腐蚀类型。通过频域分析得到的功率谱密度曲线,能表征304不锈钢腐蚀的程度。小波分析则能从不同尺度下分解信号,更加直观、清晰地表征腐蚀进程。利用电化学噪声技术能很好地监测SRB对不锈钢的腐蚀影响,根据不同的需求采用不同的分析方法进行电化学噪声数据分析,才能准确表征腐蚀类型、腐蚀速率以及腐蚀程度。The corrosion of 304 stainless steel induced by sulfate-reducing bacteria （SRB） was studied based on the electrochemical noise （EN） technology and the signal processing. The electrochemical corrosion process was measured with the electrochemical workstation. The noise data measured were removed by DC drift, and were analyzed in time domain, frequency domain and wavelet. The results show that the standard deviation and the noise resistance received by time domain analysis can characterize the corrosion rate, and the local factors obtained can distinguish the corrosion type. The power spectrum density （PSD） curve obtained by frequency domain analysis can represent the corrosion degree of 304 stainless steel. The wavelet analysis can decompose the EN signals from varying scales, thus characterizing the corrosion process more intuitively and clearly. The EN technology can better monitor the corrosion influence of SRB on stainless steel. Using different analysis methods according to the different needs can accurately characterize the corrosion type, the corrosion rate and the corrosion degree.

关 键 词：微生物腐蚀 硫酸盐还原菌 电化学噪声分析 信号处理 

分 类 号：TG174.36[金属学及工艺—金属表面处理]