Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks

Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks

In the Bayer process, the reaction of silica in bauxite with caustic soda causes the loss of great amount of NaOH. In this research, the bound-soda losses in Bayer process solid residue (red mud) are predicted using intelligent techniques. This method, based on the application of regression and arti...

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Bibliographic Details
Main Authors: M. Mahmoudian, A. Ghaemi, H. Hashemabadi
Format: Article
Language:English
Published: Iranian Association of Chemical Engineering (IAChE) 2016-04-01
Series:Iranian Journal of Chemical Engineering
Subjects:
neural network
linear regression
bound-soda
red mud
bayer process
Online Access:https://www.ijche.com/article_15372_adb8c99476d998d53bba15d9b470fafa.pdf
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