2007
DOI: 10.1007/s11595-006-3389-3
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Fractal characteristic of pits distribution on 304 stainless steel corroded surface and its application in corrosion diagnosis

Abstract: Electrochemical techniques and fractal theory were employed to study the corrosion behaviors and pits distribution characteristics on the corroded surfaces of 304 stainless steel exposed in FeCl 3 solution. Fractal features of pits distribution over the corroded surfaces were observed and described by the fractal dimension. A 5-8-2 back-propagation (BP) artificial neural network model for the diagnoses of the pitting corrosion rate and pits deepness of 304 stainless steel under various conditions was developed… Show more

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Cited by 17 publications
(3 citation statements)
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“…There are a number of methods to calculate the fractal dimension, including the box counting method and variation method. The box counting method is widely accepted due to its simple arithmetic [34,35]. However, part of characteristic information of the fractal structure will be lost during the calculation, and the lost information will increase with the increase of complexity of the fractal structure [36].…”
Section: Resultsmentioning
confidence: 99%
“…There are a number of methods to calculate the fractal dimension, including the box counting method and variation method. The box counting method is widely accepted due to its simple arithmetic [34,35]. However, part of characteristic information of the fractal structure will be lost during the calculation, and the lost information will increase with the increase of complexity of the fractal structure [36].…”
Section: Resultsmentioning
confidence: 99%
“…It meant that in this experiment case, one factor was varied at four levels and two other factors were varied at three levels. With the intention of accommodating both four-level and three-level factors in an orthogonal design, a special design technique called "dummy treatment" of factors was used [32]. Dummy treatment accommodated two three-level factors in a basic four-level orthogonal array by using only three of the possible levels for the factor and simplified repeating one level from the previous three levels for the indicated fourth level.…”
Section: Orthogonal Test Designmentioning
confidence: 99%
“…However, Rmax and Rn could not reflect the partial distribution and local changes of the surface profile [42]. The application of fractal dimensions to the eval-uation of the rough surface became more and more popular [43][44][45][46] and several studies concluded that the fractal dimension could be applied successfully in evaluating the resistance of steel corrosion [47,48], pore evolution in concrete [49], and evolution of fracture in rock surface [50,51]. The calculation of fractal dimension had nothing to do with the sampling range and the resolution of roughness measuring tool [52].…”
Section: Introductionmentioning
confidence: 99%