Analysis of the working chamber size influence on the effectiveness of grinding in electromagnetic mill

Krawczykowski, D.; Foszcz, D.; Ogonowski, Szymon; Gawenda, T.; Wołosiewicz-Głąb, Marta

doi:10.1088/1757-899x/427/1/012033

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…establishing interrelationships between the structural parameters of the mill and the course of the characteristic physical processes in its WC [2][3][4][7][8][9][10][11][12][13][14][15][16]]; • the creation and improvement of management systems [3,6,[17][18][19][20][21][22]; • experimental studies of grinding and/or mixing processes [1,2,5,14,19,[23][24][25]; • the improvement of existing and development of new technological processes that involve mills [5,11,20,22,[26][27][28][29].…”

Section: Analysis Of the Latest Studiesmentioning

confidence: 99%

A Study of Magnetic Mill Productivity

et al. 2023

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The paper explores the characteristic indicators of the operation of a magnetic mill. A magnetic mill is a device designed for grinding or mixing substances by interaction with ferromagnetic working elements moving in a rotating magnetic field. The study established the main factors influencing force interaction between the components of such a system. An analysis of the magnetic field inside the working zone of the mill was conducted and the method of calculating the quantitative indicators of this interaction was found. The method responds to changes in the size of these elements, their position in the mill working area and changes in the intensity of the magnetic field. A mathematical model was developed. The model is used for calculating the trajectories of movement of the ferromagnetic elements that are placed in a rotating magnetic field and are confined by space of the working zone of the mill. Indicators directly related to the productivity of the grinding/mixing process were determined following an analysis of the simulation results. Based on comparison of the results obtained by calculation and experimental methods, it was proven that the proposed method is suitable for evaluating the productivity of the grinding/mixing process in a real technological system containing a magnetic mill.

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Section: Analysis Of the Latest Studiesmentioning

confidence: 99%

A Study of Magnetic Mill Productivity

et al. 2023

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“…Accordingly, new technologies such as the Vertimill (Metso) and the horizontal Isamill (Glencore Technology) have been introduced, which use gravitation forces or rotating discs to maximaze the live area of the mill (Mogroup, 2022;Glencoretechnology;2022). In addition, to prevent the transmission of grinding media in the dead zone, researchers have focused on using electromagnets embedded in the mill shells (Wołosiewicz-Głab et al, 2016;Wołosiewicz-Głab et al, 2017;Krawczykowski et al, 2018;Foszcz et al, 2019). However, traditionall designed ball mills are still the mian part of mineral processing plants in the world (Golpayegani and Rezai, 2022).…”

Section: Introductionmentioning

confidence: 99%

Improvement of the accuracy of Hogg and Fuerstenau's model in predicting the power draw of ball mills based on determining the grinding media’s dynamic voidage

Golpayegani¹,

Rezai²

2022

Physicochem. Probl. Miner. Process.

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In the development of tumbling mills' power models, the voidage of grinding media is assumed to be static and equal to 40%. While the grinding media's voidage is dynamic; and hence is varied by changing the operating parameters. In this paper, to improve the Hogg and Fuerstenau model's accuracy in predicting the ball mills' power draw, the grinding media's static and dynamic voidage was studied for Bond's proposed ball size distributions (BSD) for the ball mills' first filling. To this end, by scaling down balls to one-tenth of actual size, developing a novel method to measure the dynamic voidage, and employing the three-level factorial method, a separate empirical model was developed for determining the dynamic voidage of each Bond's BSD with respect to mill's fractional filling and rotating speed. Moreover, using the multiple regression method, a general empirical model was derived to determine the dynamic voidage of each supposed BSD based on calculating the mean absolute deviation of balls diameter (MAD). Results indicated that grinding media's dynamic voidage increases with an increase in rotating speed and a decrease in fractional filling and balls diameter's MAD. The maximum and minimum static and dynamic voidage occurred for the seventh and first Bond's BSDs. By employing an industrial database and analyzing the mean absolute percentage error (MAPE) of predicted ball mills' power draw, it was found that the Hogg and Fuerstenau model's accuracy enhances by calculating the load's bulk density based on the grinding media's dynamic voidage.

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“…Separately, we want to address the issues of determining EMM performance. Using one of the grinding quality indicators, such as its grain structure, the researchers determine the size of particles in WM samples, depending on millstones size, material feeding volume, grinding process time, WCh filling and compare it with a given value [1,7,9,[14][15][16]. At the same time, WM volume or mass is determined, which meets the quality index.…”

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confidence: 99%

Mathematical Model to Calculate the Trajectories of Electromagnetic Mill Operating Elements

2021

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The purpose of the research under consideration is to develop a mathematical model to calculate the trajectories of the ferromagnetic operating elements (millstones) of an electromagnetic mill, moving in a rotating magnetic field under electrodynamic and hydrodynamic resistance forces being limited by the space of the mill’s working chamber. The millstone motion is described through the equations of plane motion of arbitrary-shaped two-dimensional body. The driving forces of this motion are determined on the basis of the approximation of the tabulated functions connecting the module and the orientation of the equivalent force applied to the millstone, with its position in the working chamber and composite MMF phase of mill inductor winding. These tabulated functions are derived from the estimation of the magnetic field inside a working chamber with millstones, in two-dimensional quasi-stationary approximation, using FEM analysis. The publication contains the approximation algorithm for these tabulated vector functions of a vector argument, mathematical statement of millstones trajectories calculating, and analysis of mathematical experiments results that make it possible to evaluate the adequacy of the model. The developed tool enables conducting quantitative analysis of grinding/mixing process and will help to establish relationships between the electromagnetic mill design parameters and its performance. References 21, figures 6.

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Analysis of the working chamber size influence on the effectiveness of grinding in electromagnetic mill

Cited by 4 publications

References 8 publications

A Study of Magnetic Mill Productivity

A Study of Magnetic Mill Productivity

Improvement of the accuracy of Hogg and Fuerstenau's model in predicting the power draw of ball mills based on determining the grinding media’s dynamic voidage

Mathematical Model to Calculate the Trajectories of Electromagnetic Mill Operating Elements

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