Simple fuzzy models for prediction of flotation indices

Jovanović, Ivana; Conić, Vesna; Sokolović, Jovica; Kržanović, Daniel; Radulović, Dragan

Conference Object Open access M33

IMPRC_2023_Proceedings-419-424full.pdf (2.52MB)

2023

Jovanović, Ivana
Conić, Vesna
Sokolović, Jovica
Kržanović, Daniel
Radulović, Dragan

University of Belgrade, Technical Faculty in Bor

Proceedings - XV International Mineral Processing and Recycling Conference, IMPRC, 17-19 May 2023, Belgrade, Serbia, 2023, 404-409

404

409

English

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

This paper presents the development and validation of two simple copper flotation models based on fuzzy logic (Mamdani and Takagi-Sugeno fuzzy inference system). Given that the Cu flotation process contains a large number of variables (especially inputs), models are called simple, because they contain only three input and three output variables. Input variables are feed grade, collector consumption in the roughing stage and overall frother consumption. Output variables are final concentrate grade and recovery as well as final tailings grade. The training and evaluation of the proposed models were accomplished on the basis of real process data from the industrial flotation plant of “Veliki Krivelj Mine”. The results showed that the proposed fuzzy models well describe the behavior of the industrial flotation plant in a wide range of circumstances (correlation coefficient R > 0.89 in all cases). There is almost no difference between the results, whether Mamdani and Takagi Sugeno fuzzy inference system is applied.

Fuzzy model, Flotation, Copper ore

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.date.issued	2023
dc.identifier.isbn	978-86-6305-133-1
dc.identifier.uri	https://imprc.tfbor.bg.ac.rs/download/IMPRC_2023_Proceedings.pdf
dc.identifier.uri	https://repozitorijum.tfbor.bg.ac.rs/handle/123456789/5808
dc.description.abstract	This paper presents the development and validation of two simple copper flotation models based on fuzzy logic (Mamdani and Takagi-Sugeno fuzzy inference system). Given that the Cu flotation process contains a large number of variables (especially inputs), models are called simple, because they contain only three input and three output variables. Input variables are feed grade, collector consumption in the roughing stage and overall frother consumption. Output variables are final concentrate grade and recovery as well as final tailings grade. The training and evaluation of the proposed models were accomplished on the basis of real process data from the industrial flotation plant of “Veliki Krivelj Mine”. The results showed that the proposed fuzzy models well describe the behavior of the industrial flotation plant in a wide range of circumstances (correlation coefficient R > 0.89 in all cases). There is almost no difference between the results, whether Mamdani and Takagi Sugeno fuzzy inference system is applied.
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, 404-409
dc.subject	Fuzzy model
dc.subject	Flotation
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject	Copper ore
dc.title	Simple fuzzy models for prediction of flotation indices
dc.type	conferenceObject
dc.type.version	publishedVersion
dc.citation.spage	404
dc.citation.epage	409
dc.citation.rank	M33
dc.creator	Jovanović, Ivana
dc.creator	Conić, Vesna
dc.creator	Sokolović, Jovica
dc.creator	Kržanović, Daniel
dc.creator	Radulović, Dragan
dc.date.accessioned	2024-01-23T09:14:26Z
dc.date.available	2024-01-23T09:14:26Z


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