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

被引：1
|
作者：
Nagimova, M. A. [1 ]
Shcherbatskii, V. B. [1 ]
Mikhailova, N. A. [1 ]
机构：
[1] Ural State Tech Univ, UGTU, UPI, Ekaterinburg, Russia
来源：
REFRACTORIES AND INDUSTRIAL CERAMICS | 2006年 / 47卷 / 04期
关键词：
Neuron Network; Machine Intelligence; Granulometric Composition; Sieve Analysis; Particle Surface Area;
D O I：
10.1007/s11148-006-0102-1
中图分类号：
TQ174 [陶瓷工业]; TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
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.
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页码：259 / 260
页数：2
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