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Title: OPTIMIZATION OF COMMINUTION CIRCUIT THROUGHPUT AND PRODUCT SIZE DISTRIBUTION BY SIMULATION AND CONTROL

Abstract

The goal of this project is to improve energy efficiency of industrial crushing and grinding operations (comminution). Mathematical models of the comminution process are being used to study methods for optimizing the product size distribution, so that the amount of excessively fine material produced can be minimized. The goal is to save energy by reducing the amount of material that is ground below the target size, while simultaneously reducing the quantity of materials wasted as ''slimes'' that are too fine to be useful. This is being accomplished by mathematical modeling of the grinding circuits to determine how to correct this problem. It has been determined that, for mixtures of approximately equal quantities of high-density minerals (such as iron oxides) and low-density minerals (such as quartz), existing hydrocyclone models fail to accurately predict the hydrocyclone behavior. Since the hydrocyclone is the key unit controlling the particle size, an accurate model of these units is required and is being fully developed. Experimental work has demonstrated that the previous models are inaccurate due to incorrect assumptions concerning the change in hydrocyclone cut size as a function of changing particle density.

Authors:
; ;
Publication Date:
Research Org.:
Michigan Technological University (US)
Sponsoring Org.:
(US)
OSTI Identifier:
831080
DOE Contract Number:
FC26-01NT41062
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 1 Jul 2004
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; COMMINUTION; CYCLONE SEPARATORS; DISTRIBUTION; ENERGY EFFICIENCY; IRON OXIDES; MATHEMATICAL MODELS; PARTICLE SIZE; QUARTZ; COMPUTERIZED SIMULATION; PROCESS CONTROL; ORE PROCESSING

Citation Formats

H.J. Walqui, T.C. Eisele, and S.K. Kawatra. OPTIMIZATION OF COMMINUTION CIRCUIT THROUGHPUT AND PRODUCT SIZE DISTRIBUTION BY SIMULATION AND CONTROL. United States: N. p., 2004. Web. doi:10.2172/831080.
H.J. Walqui, T.C. Eisele, & S.K. Kawatra. OPTIMIZATION OF COMMINUTION CIRCUIT THROUGHPUT AND PRODUCT SIZE DISTRIBUTION BY SIMULATION AND CONTROL. United States. doi:10.2172/831080.
H.J. Walqui, T.C. Eisele, and S.K. Kawatra. Thu . "OPTIMIZATION OF COMMINUTION CIRCUIT THROUGHPUT AND PRODUCT SIZE DISTRIBUTION BY SIMULATION AND CONTROL". United States. doi:10.2172/831080. https://www.osti.gov/servlets/purl/831080.
@article{osti_831080,
title = {OPTIMIZATION OF COMMINUTION CIRCUIT THROUGHPUT AND PRODUCT SIZE DISTRIBUTION BY SIMULATION AND CONTROL},
author = {H.J. Walqui and T.C. Eisele and S.K. Kawatra},
abstractNote = {The goal of this project is to improve energy efficiency of industrial crushing and grinding operations (comminution). Mathematical models of the comminution process are being used to study methods for optimizing the product size distribution, so that the amount of excessively fine material produced can be minimized. The goal is to save energy by reducing the amount of material that is ground below the target size, while simultaneously reducing the quantity of materials wasted as ''slimes'' that are too fine to be useful. This is being accomplished by mathematical modeling of the grinding circuits to determine how to correct this problem. It has been determined that, for mixtures of approximately equal quantities of high-density minerals (such as iron oxides) and low-density minerals (such as quartz), existing hydrocyclone models fail to accurately predict the hydrocyclone behavior. Since the hydrocyclone is the key unit controlling the particle size, an accurate model of these units is required and is being fully developed. Experimental work has demonstrated that the previous models are inaccurate due to incorrect assumptions concerning the change in hydrocyclone cut size as a function of changing particle density.},
doi = {10.2172/831080},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jul 01 00:00:00 EDT 2004},
month = {Thu Jul 01 00:00:00 EDT 2004}
}

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