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rate-of-corrosions
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Soft computing method for prediction of co2 corrosion in flow lines based on neural network approach
, Article Chemical Engineering Communications ; Volume 200, Issue 6 , 2013 , Pages 731-747 ; 00986445 (ISSN) ; Nareh'ei, M. A ; Chamkalani, R ; Zargari, M. H ; Dehestani Ardakani, M. R ; Farzam, M ; Sharif University of Technology
2013
Abstract
An important aspect of corrosion prediction for oil/gas wells and pipelines is to obtain a realistic estimate of the corrosion rate. Corrosion rate prediction involves developing a predictive model that utilizes commonly available operational parameters, existing lab/field data, and theoretical models to obtain realistic assessments of corrosion rates. This study presents a new model to predict corrosion rates by using artificial neural network (ANN) systems. The values of pH, velocity, temperature, and partial pressure of the CO2 are input variables of the network and the rate of corrosion has been set as the network output. Among the 718 data sets, 503 of the data were implemented to find...
Pure commercial titanium color anodizing and corrosion resistance
, Article Journal of Materials Engineering and Performance ; Volume 20, Issue 9 , 2011 , Pages 1690-1696 ; 10599495 (ISSN) ; Afshar, A ; Ghahramani, S ; Malekinejad, P ; Sharif University of Technology
Abstract
In order to improve titanium corrosion behavior, we can increase the thickness of oxide layer on titanium surface during anodizing process and by electrochemistry. In this research, self-color anodizing of Ti in sulfuric acid was done, and anodizing layers were created in different colors. The highest value of chromaticity was 37.8 for the anodized sample in 10 V, and the lowest value was 8.6 at 15 V. The oxide layer thickness was calculated by optical method (light refraction). The anodic film thickness increased by increasing the anodizing voltage. The highest thickness of anodic film was 190 nm in sulfuric acid solution for the anodized sample in 80 V. Corrosion resistance of anodized Ti...