Study of Acid-Resistant Material Properties Based on Noferrous Metallurgy Waste Using Regresssion Analysis

Study of Acid-Resistant Material Properties Based on Noferrous Metallurgy Waste Using Regresssion... Results are provided for a study of the relationship between the mechanical properties of acid-resistant materials based on the argillaceous part of gravitation tailings of zircon-ilmenite ores and content within acid-resistant materials of polymetallic ore enrichment tailings, and alumina-containing mud from the treatment of aluminum and its alloys. Amodel of the dependence is constructed on the basis of actual experimental results and it describes analytically the correlation of test results. Regression analysis makes it possible to obtain a mathematical model providing a possible prediction of ceramic mix properties at points outside an experimental series. A patent 2385304 has been obtained for the composition developed. The phase composition shows presence of mullite and corundum in acid-resistant material that improve object indices. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Refractories and Industrial Ceramics Springer Journals

Study of Acid-Resistant Material Properties Based on Noferrous Metallurgy Waste Using Regresssion Analysis

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Publisher
Springer US
Copyright
Copyright © 2016 by Springer Science+Business Media New York
Subject
Material Science; Characterization and Evaluation of Materials; Materials Science, general; Ceramics, Glass, Composites, Natural Methods
ISSN
1083-4877
eISSN
1573-9139
D.O.I.
10.1007/s11148-016-9878-9
Publisher site
See Article on Publisher Site

Abstract

Results are provided for a study of the relationship between the mechanical properties of acid-resistant materials based on the argillaceous part of gravitation tailings of zircon-ilmenite ores and content within acid-resistant materials of polymetallic ore enrichment tailings, and alumina-containing mud from the treatment of aluminum and its alloys. Amodel of the dependence is constructed on the basis of actual experimental results and it describes analytically the correlation of test results. Regression analysis makes it possible to obtain a mathematical model providing a possible prediction of ceramic mix properties at points outside an experimental series. A patent 2385304 has been obtained for the composition developed. The phase composition shows presence of mullite and corundum in acid-resistant material that improve object indices.

Journal

Refractories and Industrial CeramicsSpringer Journals

Published: Feb 20, 2016

References

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