Modeling Breakage Kinetics in Various Dry Comminution                    Systems

Fuerstenau, D.W.; Kapur, P.C.; De, A.

doi:10.14356/kona.2003015

Cited by 18 publications

(7 citation statements)

References 8 publications

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“…Many researchers have underlined the advantages of these functions (Ipek H. and Göktepe F., 2011;Wang X. et al, 2011;Gupta V.K. and Sharma S., 2014), while the scale-up from laboratory data to full-scale mills has also been discussed in a number of recent studies (Fuerstenau D.W. et al, 2003;Deniz V., 2013).…”

Section: Introductionmentioning

confidence: 99%

Identification of Optimal Mill Operating Parameters during Grinding of Quartz with the Use of Population Balance Modeling

Petrakis¹,

Stamboliadis²,

Komnitsas³

2017

KONA

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It is known that ball milling is an energy intensive process and great efforts have been made over the years to improve energy efficiency. The use of population balance models (PBMs) can assist in the design of mineral processing circuits and the scale-up of laboratory mill results to full-scale. However, since each model has its own capabilities and limitations, it is believed that a combined use will provide more accurate information for the reliable description of the process. In this study, the simulation of grinding of quartz is investigated in order to identify the optimal mill operating parameters. With the use of population balance modeling the specific rate of breakage and the cumulative breakage parameters can be determined from mono-size, short grinding time batch tests. The determined breakage parameters were back calculated by minimizing the residual error between experimental and reproduced size distributions. By combining two software packages the back calculated breakage parameters were used for the prediction of the optimum ball filling volume. The proposed procedure can be also applied for the identification of optimal mill operating parameters for other minerals.

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Section: Introductionmentioning

confidence: 99%

Identification of Optimal Mill Operating Parameters during Grinding of Quartz with the Use of Population Balance Modeling

Petrakis¹,

Stamboliadis²,

Komnitsas³

2017

KONA

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“…These functions define the fundamental size-mass balance equation for fully mixed batch grinding operations. Many researchers have underlined the advantages of these functions [26][27][28], while the scale-up from laboratory to industrial mills has also been discussed in a number of recent studies [1,[29][30][31][32]. Furthermore, several studies investigated the effect of the variation of kinetic model parameters, when different mill operating conditions were used.…”

Section: Introductionmentioning

confidence: 99%

Improved Modeling of the Grinding Process through the Combined Use of Matrix and Population Balance Models

Petrakis

Komnitsas

2017

Minerals

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Abstract:The mechanistic approach has proven so far to be flexible and successful for simulation of the grinding process. The basic idea underlying mechanistic models, namely the matrix and population balance models, is based on the identification of natural events during grinding. Since each model has its own capabilities and limitations, their combined use may offer additional advantages on this aspect. In this study, the matrix model and the selection function, namely the probability of breakage of the population balance model, were combined through a MATLAB code to predict the size distribution of the grinding products of quartz, marble, quartzite and metasandstone. The modeling results were in very good agreement with the particle size distributions obtained after grinding the feeds in a ball mill.

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“…These functions generate the fundamental size-mass balance equation which is applied for fully mixed batch grinding operations. It is mentioned that many researchers have underlined the advantages of these functions [16,17], while the scale-up from laboratory to industrial mills has also been discussed in a number of studies [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Correlation between Material Properties and Breakage Rate Parameters Determined from Grinding Tests

Petrakis

Komnitsas

2018

Applied Sciences

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Abstract:The present study investigates four materials, namely quartz, marble, quartzite and metasandstone and aims to establish correlations, with the use of simple and multiple regression analysis, between their properties and breakage rate parameters. The material properties considered in this study derived from the application of destructive and non-destructive tests and include P-wave velocity (V p ), Schmidt rebound value (R L ), uniaxial compressive strength (UCS) and tangent modulus of elasticity (E t ), while the breakage rate parameters determined from batch grinding tests, include breakage rate S i , maximum breakage rate S m , α T and α, and optimum particle size x m . The results indicate that the properties of all materials examined show very good correlation and can be used to predict S i or α T . Furthermore, parameter α is well correlated with V p , R L and E t using inverse exponential functions, while S m is strongly correlated with R L and UCS. Overall, it is deduced that multiple regression analysis involving two independent variables is a reliable approach and can be used to identify correlations between properties and breakage rate parameters for quartz, quartzite and metasandstone, which are silica rich materials. The only exception shown is the determination of x m for marble.

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Modeling Breakage Kinetics in Various Dry Comminution Systems

Abstract: In modeling comminution systems, breakage rate (selection)

Cited by 18 publications

References 8 publications

Identification of Optimal Mill Operating Parameters during Grinding of Quartz with the Use of Population Balance Modeling

Identification of Optimal Mill Operating Parameters during Grinding of Quartz with the Use of Population Balance Modeling

Improved Modeling of the Grinding Process through the Combined Use of Matrix and Population Balance Models

Correlation between Material Properties and Breakage Rate Parameters Determined from Grinding Tests

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