Application of the Cumulative Kinetic Model in the Comminution of Critical Metal Ores

Ciribeni, Victor; Bertero, Regina; Tello, Andrea; Puerta, Matías; Avellá, Enzo; Paez, Matías; Menéndez-Aguado, Juan M.

doi:10.3390/met10070925

Cited by 12 publications

(8 citation statements)

References 11 publications

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“…In the first contribution of this Special Issue, Ciribeni et al [1] proposed a simplified procedure for calculating grinding kinetic parameters, providing a spreadsheet to help work index calculation through simulation using the characterisation performed. They then compared the results with actual Bond ball-mill work index results and validate the proposed methodology.…”

Section: Contributionsmentioning

confidence: 99%

Grinding and Concentration Technology of Critical Metals

Menéndez-Aguado

2022

Metals

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Section: Contributionsmentioning

confidence: 99%

Grinding and Concentration Technology of Critical Metals

Menéndez-Aguado

2022

Metals

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“…The other scientists focus their investigations on mathematical algorithms [14][15][16] and mathematical correlations [17] that helped them to calculate Bond work index upon the data collected after the first or second grinding cycle as an input parameter. Grinding kinetic model was basis for many investigations and some resulted in promising models [18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Novel Quick Value Assessment Procedure Of The Bond Work Index

Andrić¹,

Ivošević²,

Jovanović³

et al. 2023

Preprint

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The bond index is an indicator of the grindability of the material and is widely used in the preparation of mineral raw materials and the cement industry. Paper offers new, abbreviated and simplified procedure to determine Bond work index that relies on first-order kinetics law and can be performed with any number of grinding cycles, depending on the desired accuracy of the required data. The parameters G and P80 of each grinding cycle are multiplied by the newly founded coefficients giDT and piDT to obtain values approximately equal to these parameters of the last grinding cycle when the equilibrium state is reached in the standard test. The paper presents comparative results obtained by standard Bond and new shortened procedure on individual samples of andesite, limestone, copper-ore and smelter slag and on composite samples of andesite from limestone and copper-ore with smelter slag in different mass ratios. As the number of grinding cycles increases, the precision of the shortened procedure increases, and the mean square error decrease 3.59%, 2.61% and 1.74% for two, three and four grinding cycles.

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“…It has been found, however, that impact forces mostly reduce coarser particle sizes, whereas finer particle sizes are primarily reduced by attrition [1]. According to estimates, 3-4% of the global electrical energy and almost 50% of the mining energy consumption are used for mineral comminution [2][3][4][5][6]. Also, grinding is an inefficient process and is characterized by high CO 2 emissions and increased processing cost [7].…”

Section: Introductionmentioning

confidence: 99%

Reliability of the Non-linear Modeling in Predicting the Size Distribution of the Grinding Products Under Different Operating Conditions

Petrakis

Varouchakis

Komnitsas

2023

Mining, Metallurgy & Exploration

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During the modeling of grinding systems, population balance modeling (PBM) which considers a constant breakage rate has been widely used over the past years. However, in some cases, PBM exhibited some limitations, and time-dependent approaches have been developed. Recently, a non-linear framework which considers the traditional linear theory of the PBM as a partial case was introduced, thus allowing the estimation of product particle size distribution in relation to grinding time or the specific energy input to the mill. In the proposed model the simplified form of the fundamental batch grinding equation was transformed into the well-known Rosin–Rammler (RR) distribution. Besides, the adaptability and reliability of the prediction model are among others dependent upon the operating conditions of the mill and the adjustment of the RR distribution to the experimental data. In this study, a series of grinding tests were performed using marble as test material, and the adaptability of the non-linear model was investigated using three loads of single size media, i.e., 40, 25.4, and 12.7 mm. The results indicate that the proposed model enables a more accurate analysis of grinding, compared to PBM, for different operating conditions.

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Application of the Cumulative Kinetic Model in the Comminution of Critical Metal Ores

Cited by 12 publications

References 11 publications

Grinding and Concentration Technology of Critical Metals

Grinding and Concentration Technology of Critical Metals

Novel Quick Value Assessment Procedure Of The Bond Work Index

Reliability of the Non-linear Modeling in Predicting the Size Distribution of the Grinding Products Under Different Operating Conditions

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