Optimization of micronizing zeolite grinding using artificial neural networks
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Date
2023
Authors
Nikolić, Vladimir
Trumić, Milan
Tanikić, Dejan
Journal Title
Journal ISSN
Volume Title
Publisher
University of Belgrade, Technical Faculty in Bor
Source
Proceedings - XV International Mineral Processing and Recycling Conference, IMPRC, 17-19 May 2023, Belgrade, Serbia, 2023, 143-149
Volume
Issue
Abstract
The aim of the experiment was to determine the optimal grinding conditions for obtaining a powder with appropriate physico-chemical and microstructural characteristics that would find its potential application as a binder and ion exchanger in structural composites. The analysis of certain classes of zeolite size after micronization was performed through grinding kinetics. An artificial neural network was developed based on the obtained results, and then compared with the obtained experimental results.
Description
Keywords
Zeolite, Micronizing Grinding, Specific Surface, Artificial Neural Networks
Citation
DOI
Scopus
ISSN
ISBN
978-86-6305-133-1
License
CC-BY-NC-ND