Estimated and Stationary Atmospheric Corrosion Rate of Carbon Steel, Galvanized Steel, Copper and Aluminum in Iran

2019 ◽  
Vol 51 (1) ◽  
pp. 342-367 ◽  
Author(s):  
Mahdi Shiri ◽  
Davar Rezakhani
2014 ◽  
Vol 507 ◽  
pp. 258-262
Author(s):  
Ping Wang ◽  
Zhao Hui Yin ◽  
Han Tao Ren ◽  
Song Xu

The rate of carbon steel in SO2 Atmospheric Corrosion was modeled by grey model GM (1, 1). The accuracy and rationality of prediction model have been evaluated. The result indicated that the model had a better fitting accuracy. By comparing the calculated values with a predicted atmospheric corrosion rate of carbon steel after 264h, it showed that its relative error has been just 0.5619% which had higher forecast reliability.


Atmósfera ◽  
2017 ◽  
Vol 30 (1) ◽  
pp. 53-61 ◽  
Author(s):  
John Fredy Ríos Rojas ◽  
◽  
David Aperador Rodríguez ◽  
Edwin Arbey Hernández García ◽  
Carlos Enrique Arroyave Posada ◽  
...  

2018 ◽  
Vol 55 (5B) ◽  
pp. 272
Author(s):  
Pham Duy Nam

The corrosion of materials is a result of complex impact from many climatic factors such as temperature, humidity, air pollutant content in the air, rainfall etc. In addition, the corrosion rate of metals can be measured. Each climatic zone is characterized by its corrosion rate. This article presents the testing results to determine the corrosion rate of carbon steel, copper, aluminum and zinc in 12 districts characterizing different climate zones of Vietnam. Testing, evaluation, and classification of atmospheric corrosion were conducted in accordance with the standard ISO 9223. The results show that for all types of studied metals, their corrosion rates which are determined from climatic data are higher than the corrosion rates in reality, especially for carbon steel and aluminum. This difference is more visible in the rural areas.


2021 ◽  
Vol 892 ◽  
pp. 142-149
Author(s):  
Affandi ◽  
Iqbal Tanjung ◽  
Arya Rudi Nasution ◽  
Abdul Gani Harahap ◽  
Syarizal Fonna ◽  
...  

The objective of this study is to carry out an atmospheric corrosion analysis on low carbon steel in the form of plates and elbows in the port area of Belawan. The exposure of the test specimen was carried out at five locations for 12 months. The location points are notated as A, B, C, D, and E. The process of specimen exposure and data collection followed the ASTM G-1 and ASTM G-50 standards. The measurement results indicated a slight difference in the corrosion rate at each location. Location C and D have the highest corrosion rate and location A has the lowest corrosion rate. Meanwhile, for locations B and E have a corrosion rate value that is not much different from location A. This difference in value is probably a consequence of the distance from the exposure location to the seaside. Locations C and D are adjacent to the seaside while the other locations are not. The steel plate has an average value of corrosion rate 0.2214 mpy and steel elbow has a rate of 0.2412 mpy. From the measurement results obtained, the two specimens exposed at each location are still in the "outstanding" category.


2012 ◽  
Vol 42 ◽  
pp. 171-185 ◽  
Author(s):  
M.O.G. Portella ◽  
K.F. Portella ◽  
P.A.M. Pereira ◽  
P.C. Inone ◽  
K.J.C. Brambilla ◽  
...  

2012 ◽  
Vol 479-481 ◽  
pp. 574-577
Author(s):  
Zhi Fen Wang ◽  
Jian Rong Liu ◽  
Li Xin Wu ◽  
Hai E Huang ◽  
Qian Xue Zhou

The weatherability of a weathering steel W450QN was compared with a carbon steel Q345 after 5 years atmospheric corrosion. The results indicated that the corrosion resistance was better for W450QN than Q345 based on the corrosion rate. The characteristics of the rust layers indicated the rust layer on W450QN was denser and thicker than that of Q345. The rust layers were mainly composed of goethite (α-FeOOH) with a few of lepidocrocite (γ-FeOOH). W450QN had better weatherability attributed to the alloying elements of copper, chromium and phosphorus enriched in the rust layer.


JTAM ROTARY ◽  
2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Muhammad Irfan Riyadi ◽  
Rudi Siswanto

The use of metals in the environment is especially important in environments such rubbish in heavy equipment or trucks, especially those of the tailgate is a tool to bring a variety of organic waste and inorganic bring the matter dissolved through a liquid called leachate and make contact or direct contact with the steel so that corrosion occurs due to leachate or wastewater flow contains many corrosive compounds that make part tailgate become quickly corroded. This study aims to determine the bias steel resist corrosion rate. The steel used is steel steel ST-41 and ST-60 is a low carbon steel and medium carbon steel. The methods used in research in the methods of losing weight and observe the types of corrosion that occurs by means of immersion with ASTM G31-72 which vary contact time for 3 weeks. Based on research conducted showed the corrosion rate of the fastest occur in steel ST-60 with a contact time of 1 week soaked the leachate and 2 weeks in contact with the air due to differences in the composition of the steel ST-60 and steel ST-41 which has a chromium content so high that steel ST-41 is superior in resisting corrosion rate while the type of corrosion that occurs is evenly corrosion and atmospheric corrosion.


2005 ◽  
Vol 475-479 ◽  
pp. 221-224
Author(s):  
Yuji Hosoya ◽  
Tadashi Shinohara ◽  
Shin-ichi Motoda ◽  
Wataru Oshikawa

Atmospheric corrosion for carbon steel was discussed with taking notice of the relation between the corrosion rate, CR, and the thickness of adsorbed water film, d, onto deposited sea salt. Amount of water adsorbed onto sea salt was measured under various conditions of amount of deposited sea salt, Ws, and relative humidity, RH. Derived concentration of the solution film was compared with that calculated thermodynamically. Corrosion amount of carbon steel specimens exposed for a month under various Ws and RH was measured and CR along with d were obtained for each condition. The relations of CR to d had the same tendency as is found on “moist corrosion” and “wet corrosion” in Tomashov’s model; However, it showed a maximum CR = 0.29mm/y at d = 56µm, thicker than that reported by Tomashov.


2021 ◽  
Vol 2021 ◽  
pp. 1-25
Author(s):  
Ngoc-Long Tran ◽  
Trong-Ha Nguyen ◽  
Van-Tien Phan ◽  
Duy-Duan Nguyen

The purpose of this study is to develop a practical artificial neural network (ANN) model for predicting the atmospheric corrosion rate of carbon steel. A set of 240 data samples, which are collected from the experimental results of atmospheric corrosion in tropical climate conditions, are utilized to develop the ANN model. Accordingly, seven meteorological and chemical factors of corrosion, namely, the average temperature, the average relative humidity, the total rainfall, the time of wetness, the hours of sunshine, the average chloride ion concentration, and the average sulfur dioxide deposition rate, are used as input variables for the ANN model. Meanwhile, the atmospheric corrosion rate of carbon steel is considered as the output variable. An optimal ANN model with a high coefficient of determination of 0.999 and a small root mean square error of 0.281 mg/m2.month is retained to predict the corrosion rate. Moreover, the sensitivity analysis shows that the rainfall and hours of sunshine are the most influential parameters on predicting the atmospheric corrosion rate, whereas the average chloride ion concentration, the average temperature, and the time of wetness are less sensitive to the atmospheric corrosion rate. An ANN-based formula, which accommodates all input parameters, is thereafter proposed to estimate the atmospheric corrosion rate of carbon steel. Finally, a graphical user interface is developed for calculating the atmospheric corrosion rate of carbon steel in tropical climate conditions.


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