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Value added biodiesel for corrosion inhibition

NOPR - NISCAIR Online Periodicals Repository

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Field Value
 
Title Value added biodiesel for corrosion inhibition
 
Creator S, Iyyappan
K P, Vinod Kumar
P, Ponram
 
Subject Artificial intelligence
Biodiesel
Corrosion inhibition
Corrosion prediction
Deep learning
 
Description 85-94
Biodiesel is one of the prospective fuels, potentially capable of substituting petroleum fuel. Nevertheless, systems using
this bioenergy resource are prone to corrosion than conventional fuels. Here, corrosion of copper metal in biodiesel with
value added green coffee bean inhibitor has been evaluated by weight loss method, which produced 95.92% inhibition
efficiency. Theoretically, corrosion is evaluated by artificial intelligence. The images of the surface obtained using CCD are
augmented to 699 image samples. These augmented images are fed to back-propagation based neural network system for
training, validation and classification for prediction of corrosion behaviour of copper in biodiesel with and without inhibitor.
The neural network system has training, validation & testing prediction accuracies of 97.1%, 96.2% & 98.1%, respectively,
and an overall accuracy of 97.1%. The proposed tool can be used to assess the corrosion behaviour dynamically in real time
for futuristic prediction of corrosion behaviour of various metals including copper.
 
Date 2024-01-12T12:29:28Z
2024-01-12T12:29:28Z
2024-01
 
Type Article
 
Identifier 0975-0991 (Online); 0971-457X (Print)
http://nopr.niscpr.res.in/handle/123456789/63202
https://doi.org/10.56042/ijct.v31i1.7604
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source IJCT Vol.31(1) [January 2024]