Overview on Corrosion, Classification and Control Measure: A Study

Mitali Sharma*, Harsh Jindal**, Devanshu Kumar***, Santosh Kumar****, Rakesh Kumar*****
*-*** Department of Computer Science Engineering, Chandigarh Group of Colleges, Landran, Mohali, Punjab, India.
**** Department of Mechanical Engineering, Chandigarh Group of Colleges, Landran, Mohali, Punjab, India.
***** Chandigarh University Mohali, Punjab, India.
Periodicity:November - January'2022
DOI : https://doi.org/10.26634/jfet.17.2.18501

Abstract

Corrosion is a universal natural phenomenon that causes degradation in metal and alloy properties by chemical or electrochemical interaction with their environment. In the United States, the total direct cost of corrosion is estimated at about 300 billion dollars per year, which is about 3.2 percent of the domestic product. This means corrosion has a huge economic loss on national infrastructure, such as bridges, chemical processing, buildings, and waste water treatment. In addition, corrosion not only increases the costs of components, but it is also responsible for life losses or injuries to people, and it reduces the value of goods owing to deterioration of appearance as well as safety hazards. Thus, by retarding either the cathodic or anodic reactions, the rate of corrosion can be reduced by coating, addition of chemical additives (corrosion inhibitors) etc. Hence, the aim of this research paper is to provide an overview of corrosion, its history, importance, classification, and preventive measures.

Keywords

Corrosion, Material Degradation, Classification, Preventive Measure, Environment.

How to Cite this Article?

Sharma, M., Jindal, H., Kumar, D., Kumar, S., and Kumar, R. (2022). Overview on Corrosion, Classification and Control Measure: A Study. i-manager’s Journal on Future Engineering & Technology, 17(2), 26-36. https://doi.org/10.26634/jfet.17.2.18501

References

[23]. Lynes, W. (1951). Some historical developments relating to corrosion. Journal of the Electrochemical Society, 98(1), 3C.
[35]. Sharma, V., & Thind, T. (2013). Techniques for detection of rusting of metals using image processing: A survey. International Journal of Emerging Science and Engineering, 1, 60-62.
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