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Prediction of the Temperature Effect on Pit Stability using Stochastical Modeling of the Pit Localized Dissolution Kinetics.

机译:使用坑局部溶解动力学的随机模型预测温度对坑稳定性的影响。

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The localized dissolution kinetics of the reactions taking place within an active pit are used to explain the stability of the pit propagation. Modeling the chemical kinetics of these reactions as a Markov Stochastical process, an algorithm was developed that provides the transient evolution with time of the metal dissolution current density within the pit in relation to the initial bulk environment conditions and the applied external potential. The predicted temperatures for spontaneous stable pitting using this stochastical algorithm for a 316L stainless steel under several reducing and oxidizing environments are compared with the results from corresponding experiments. The transition between meta-stable and stable pit propagation is assessed using Electrochemical Noise, potentio-static and potentio-dynamic measurements under controlled temperatures. The results from the stochastical model developed and the analysis of the experiments performed, indicate that the necessary conditions for stable pit propagation are: The formation of saturated metal chloride environment within the pit's cavity and reaching a limiting value for the product of the pit radius to the propagating current density (pit stability constant) at the given temperature. Spontaneous stable propagating pitting then occurs when these condition are satisfied at open circuit conditions.
机译:在活性凹坑内发生的反应的局部溶解动力学被用来解释凹坑传播的稳定性。将这些反应的化学动力学建模为马尔可夫随机过程,开发了一种算法,该算法可根据初始整体环境条件和所施加的外部电势,随时间推移随坑内金属溶解电流密度的变化而进行瞬时演化。使用这种随机算法对316L不锈钢在几种还原和氧化环境下自发稳定点蚀的预测温度与相应实验的结果进行了比较。在控制温度下,使用电化学噪声,恒电位和恒电位测量方法来评估亚稳态和稳定凹坑传播之间的过渡。随机模型的开发结果和进行的实验分析表明,稳定的基坑传播的必要条件为:在基坑腔内形成饱和金属氯化物环境,并达到基坑半径乘积的极限值。在给定温度下的传播电流密度(坑稳定性常数)。当在开路条件下满足这些条件时,就会发生自发稳定的传播点蚀。

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