Optimization of micronizing zeolite grinding using artificial neural networks

Nikolić, Vladimir; Trumić, Milan; Tanikić, Dejan

Conference Object Open access M33

IMPRC_2023_Proceedings-158-164full.pdf (2.53MB)

2023

Nikolić, Vladimir
Trumić, Milan
Tanikić, Dejan

University of Belgrade, Technical Faculty in Bor

Proceedings - XV International Mineral Processing and Recycling Conference, IMPRC, 17-19 May 2023, Belgrade, Serbia, 2023, 143-149

143

149

English

M33 - Conference paper at an international conference, printed in full

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.

Zeolite, Micronizing Grinding, Specific Surface, Artificial Neural Networks

ISBN

978-86-6305-133-1

URI

https://imprc.tfbor.bg.ac.rs/download/IMPRC_...
https://repozitorijum.tfbor.bg.ac.rs/handle/...

dc.rights.license	CC-BY-NC-ND
dc.identifier.uri	https://imprc.tfbor.bg.ac.rs/download/IMPRC_2023_Proceedings.pdf
dc.identifier.uri	https://repozitorijum.tfbor.bg.ac.rs/handle/123456789/5804
dc.description.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.
dc.language.iso	en
dc.publisher	University of Belgrade, Technical Faculty in Bor
dc.source	Proceedings - XV International Mineral Processing and Recycling Conference, IMPRC, 17-19 May 2023, Belgrade, Serbia, 2023, 143-149
dc.subject	Zeolite
dc.subject	Micronizing Grinding
dc.subject	Specific Surface
dc.subject	Artificial Neural Networks
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title	Optimization of micronizing zeolite grinding using artificial neural networks
dc.type	conferenceObject
dc.type.version	publishedVersion
dc.citation.spage	143
dc.citation.epage	149
dc.citation.rank	M33
dc.creator	Nikolić, Vladimir
dc.creator	Trumić, Milan
dc.creator	Tanikić, Dejan
dc.date.accessioned	2024-01-22T08:34:20Z
dc.date.available	2024-01-22T08:34:20Z
dc.date.issued	2023
dc.identifier.isbn	978-86-6305-133-1


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