Determination of the granulometric composition of materials for production of refractories and ceramics using machine intelligence

Determination of the granulometric composition of materials for production of refractories and... A new method is proposed for calculating the volume-surface diameter of ceramic and refractory materials using an artificial neuron network. The method differs from the earlier known ones, as it takes into account the real function of particle distribution over fractions. This allows for a more precise account of the dependence of the volume-surface diameter on the production technology and helps to improve the quality of material. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Refractories and Industrial Ceramics Springer Journals

Determination of the granulometric composition of materials for production of refractories and ceramics using machine intelligence

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Publisher
Springer Journals
Copyright
Copyright © 2006 by Springer Science+Business Media, Inc.
Subject
Materials Science; Characterization and Evaluation of Materials; Materials Science, general; Ceramics, Glass, Composites, Natural Materials
ISSN
1083-4877
eISSN
1573-9139
D.O.I.
10.1007/s11148-006-0102-1
Publisher site
See Article on Publisher Site

Abstract

A new method is proposed for calculating the volume-surface diameter of ceramic and refractory materials using an artificial neuron network. The method differs from the earlier known ones, as it takes into account the real function of particle distribution over fractions. This allows for a more precise account of the dependence of the volume-surface diameter on the production technology and helps to improve the quality of material.

Journal

Refractories and Industrial CeramicsSpringer Journals

Published: Dec 10, 2006

References

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