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首页> 外文期刊>Chaos, Solitons and Fractals: Applications in Science and Engineering: An Interdisciplinary Journal of Nonlinear Science >Surface investigation by electrochemical methods and application of chaos theory and fractal geometry
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Surface investigation by electrochemical methods and application of chaos theory and fractal geometry

机译:电化学方法进行表面研究以及混沌理论和分形几何的应用

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The present study has considered the application of the noise analysis and fractal geometry as a promising dynamic method for exploiting the corrosion mechanism of the stainless steel 304 that is immersed in different concentrations of FeCl3. The fractal dimension calculated from the electrochemical noise technique has a good correlation with the surface fractal dimension obtained by electrochemical impedance spectroscopy and scanning electron microscopy results. The complexity of system increases by divergence of Electrochemical Potential noise fractal dimension from 1.5 value and also the roughness of surface increases by an increase in surface fractal dimension. As the concentration of FeCl3 increases (0.001 M, 0.01 M and 0.1 M) the value of Electrochemical Potential noise fractal dimension diverges from 1.5 value (1.57, 1.33 and 1.01 respectively) and the value of surface fractal dimension increases (2.107, 2.425 and 2.756 for impedance results and 2.073, 2.425 and 2.672 for scanning electron microscopy images). These results show that the complexity of system and roughness of the surface increases by an increase in concentration of FeCl3. The present study has shown that chaos and noise analysis are effective methods for the study of the mechanism of the corrosion process. (C) 2016 Published by Elsevier Ltd.
机译:本研究已考虑将噪声分析和分形几何学的应用作为一种有前途的动态方法,以利用浸入不同浓度的FeCl3中的不锈钢304的腐蚀机理。由电化学噪声技术计算的分形维数与通过电化学阻抗谱和扫描电子显微镜结果获得的表面分形维数具有良好的相关性。系统的复杂性随着电化学势能分形维数从1.5值的发散而增加,并且表面粗糙度随着表面分形维数的增加而增加。随着FeCl3浓度的增加(0.001 M,0.01 M和0.1 M),电化学势噪声分形维数从1.5值(分别为1.57、1.33和1.01)发散,表面分形维数的值也增加(2.107、2.425和2.756)。 (阻抗结果为2.073、2.425和2.672为扫描电子显微镜图像)。这些结果表明,随着FeCl 3浓度的增加,系统的复杂性和表面的粗糙度也增加。本研究表明,混沌和噪声分析是研究腐蚀过程机理的有效方法。 (C)2016由Elsevier Ltd.出版

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