Crevice corrosion : a neural network approach
TL;DR: In this paper, artificial neural network (NN) is used to detect crevice corrosion in stainless steels and related alloys in near neutral chloride containing environments, where sea water is a common coolant medium and the complexity gives rise to many types of potentially dangerous crevices.
Abstract: Crevice corrosion of stainless steels and related alloys in near neutral chloride containing environments is a very widespread form of localised corrosion in industrial plants where sea water is a common coolant medium and the complexity gives rise to many types of potentially dangerous crevices. Crevice corrosion, like other modes of localised corrosion, is a stochastic process which should be treated using probability laws and concepts. Many test methods have thus far been proposed and several different models have been developed to study crevice corrosion phenomena. However, much remains to be done and to be understood before this problem can be fully solved. The complexity of the processes occurring during the onset and development of crevice corrosion, as well as the poor reliability of the above mentioned test methods, have led to the development of artificial intelligence systems. Among these, the artificial neural network (NN) system appears to be a powerful tool to tackle situations in w...
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TL;DR: In this article, a neural network was used to predict the atmospheric corrosion of steel and zinc, and the cross validity criterion was employed as the criterion to stop the training of the neural network.
87 citations
TL;DR: The result shows that the hybrid model provides better prediction capability and is therefore considered as a promising alternative method for forecasting atmospheric corrosion of zinc and steel.
85 citations
TL;DR: The use of simulated data to test the neural network method in conditions similar to those being modelled is suggested as one method of obtaining a better assurance of the applicability and performance of the method.
46 citations
TL;DR: In this article, a generalized regression neural network (GRNN) model is used to predict the corrosion potential values and corrosion current densities of ASTM A572 -50 steel specimens embedded in nine soils with different physiochemical properties, i.e., pH, moisture content, resistivity, chloride content, sulfate and sulfite contents, and mean total organic carbon concentration.
19 citations
TL;DR: In this paper, the IR drop mechanism was used to investigate the initiation of crevice corrosion for ferritic 430 stainless steel in artificial crevice electrode cells using the depth profile technique using a microcapillary tube.
15 citations
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TL;DR: A mathematical model of the initiation stage of crevice corrosion has been developed, based on the generally accepted mechanism of oxygen depletion within the crevice, followed by a pH fall and eve... as discussed by the authors.
Abstract: A mathematical model of the initiation stage of crevice corrosion has been developed, based on the generally accepted mechanism of oxygen depletion within the crevice, followed by a pH fall and eve...
243 citations
TL;DR: In this article, some mechanistic aspects of the breakdown of passivity on stainless steels in chloride media are discussed along with those pertaining to the pit-propagation process.
170 citations
TL;DR: In this paper, distance-based classifiers are used to classify measurement vectors into a set of predefined categories that represent the various functional and malfunctional states of the process, and thus extrapolation is not arbitrary but based on the most relevant data.
136 citations
TL;DR: The extent of information on the solution composition and electrode potential in pits, crevices and cracks has been reviewed in this article, where the pH values in the cavities are interpreted on the basis of the nature of the electrode reactions in the cavity and the hydrolysis of dissolved metal cations.
131 citations
TL;DR: Test methods currently available for determining the resistance of stainless steels and related alloys to pitting and crevice corrosion in chloride environments are assessed in this article, where the present understand...
Abstract: Test methods currently available for determining the resistance of stainless steels and related alloys to pitting and crevice corrosion in chloride environments are assessed. The present understand...
63 citations