Determination of operation parameters of a mineral processing study incorporating multiple regression analysis and multiobjective genetic algorithms

Küçük Resim Yok

Tarih

2009

Dergi Başlığı

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Cilt Başlığı

Yayıncı

Grup Matbaacilik

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

The design of a mineral processing plant dictates to determine optimal system parameters such as impeller speed, temperature, pH, process duration, solid % in pulp. The paper proposes a combination of multiple regression modelling and the multiobjective genetic algorithms (GA) to find the optimal system parameters simultaneously. In this research, impeller speed, process duration and solid % in pulp are considered as independent variables for the beneficiation of Al2O3 in pyrophyllite ore. Grade and electricity consumption are dependant variables. The multiple regression analysis is performed to relate dependant and independent variables to each other. The obtained models are used in optimisation procedure as objective functions. The first objective is to maximise the Al2O3 grade and the second one is to minimise electricity consumption. This is a multiobjective optimization problem and is solved by GA. The results showed that the proposed approach could be used to determine operation parameters in a mineral processing plant.

Açıklama

DEMIR EXPORT CO.
21st International Mining Congress and Exhibition of Turkey, IMCET 2009 -- 6 May 2009 through 8 May 2009 -- 110207

Anahtar Kelimeler

Algorithms, Aluminum, Genetic algorithms, Impellers, Minerals, Multiobjective optimization, Optimal systems, Optimization, Regression analysis, Silicate minerals, Electricity-consumption, Independent variables, Mineral processing plants, Multi-objective genetic algorithm, Multi-objective optimization problem, Multiple regression analysis, Multiple regression modelling, Optimisation procedures, Parameter estimation

Kaynak

Proceedings of the 21st International Mining Congress and Exhibition of Turkey, IMCET 2009

WoS Q Değeri

Scopus Q Değeri

N/A

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