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Statistical Modeling of the Industrial Sodium Aluminate Solutions Decomposition Process

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Abstract

This article presents the results of the statistical modeling of industrial sodium aluminate solution decomposition as part of the Bayer alumina production process. The aim of this study was to define the correlation dependence of degree of the aluminate solution decomposition on the following parameters of technological processes: concentration of the Na2O (caustic), caustic ratio and crystallization ratio, starting temperature, final temperature, average diameter of crystallization seed, and duration of decomposition process. Multiple linear regression analysis (MLRA) and artificial neural networks (ANNs) were used as the tools for the mathematical analysis of the indicated problem. On the one hand, the attempt of process modeling, using MLRA, resulted in a linear model whose correlation coefficient was equal to R 2 = 0.731. On the other hand, ANNs enabled, to some extent, better process modeling, with a correlation coefficient equal to R 2 = 0.895. Both models obtained using MLRA and ANNs can be used for the efficient prediction of the degree of sodium aluminate solution decomposition, as the function of the input parameters, under industrial conditions of the Bayer alumina production process.

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Acknowledgment

The authors are indebted to Mr. R. Smiljanić from Alumina Factory Birač A.D., Zvornik, Bosnia and Herzegovina, who enabled the collection of the industrial data used in this article.

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Authors and Affiliations

  1. Technical Faculty in Bor, University of Belgrade, 19210, Bor, Serbia

    Živan Živković (Professor), Ivan Mihajlović (Reader), Isidora Djurić (Assistant) & Nada Štrbac (Professor)

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  1. Živan Živković
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  2. Ivan Mihajlović
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  3. Isidora Djurić
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  4. Nada Štrbac
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Correspondence to Ivan Mihajlović.

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Manuscript submitted November 24, 2009.

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Živković, Ž., Mihajlović, I., Djurić, I. et al. Statistical Modeling of the Industrial Sodium Aluminate Solutions Decomposition Process. Metall Mater Trans B 41, 1116–1122 (2010). https://doi.org/10.1007/s11663-010-9407-z

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