Preliminary studies on modelling the drying process in product classification and separation path in an electromagnetic mill installation

Wegehaupt, Jan; Buchczik, Dariusz; Krauze, Oliwia

doi:10.1109/mmar.2017.8046939

Cited by 7 publications

(16 citation statements)

References 6 publications

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“…where M z (F i ) is the moment of force F i relatively to axis 0z, passing through the mass center; M z is the principal moment of all external forces about this axis; ω c is the angular velocity. Thus, the system (11), consisting of four equations and containing four unknowns x c , y c , φ and ω c , is the content of mathematical formulation of the problem of the arbitrary shaped solid body plane motion trajectory estimation, which is affected by external forces and moments. The algorithm for its solving is considered in detail in [19], and the formulation, suitable for the system of bodies and on the basis of MSE - [20].…”

Section: Methods Of Researchmentioning

confidence: 99%

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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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Section: Methods Of Researchmentioning

confidence: 99%

“…The surveys [9][10][11][12] are dedicated to the effectiveness of dry and wet methods of copper ore grinding, the influence of WM humidity on this process and its value measuring.…”

mentioning

confidence: 99%

Mathematical Model to Calculate the Trajectories of Electromagnetic Mill Operating Elements

2021

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“…Analyses of operation of the dry grinding installation with electromagnetic mill ( Figure 1 ) led to a model describing the changes of water content (gaseous and liquid) in individual elements of the system [ 20 ]. Due to complex structure of such a model, the installation was divided into two parts for which separate moisture–humidity models were created: Model of the electromagnetic mill subsystem includes moisture/humidity changes in the mill itself with the integrated preliminary classifier and an additional moistening system.…”

Section: Methodsmentioning

confidence: 99%

“…So, moisture in these parts of the installation needs to be modelled (estimated), not measured. The first attempt to solve this modelling problem for the classification subsystem of the grinding circuit was reported by the authors in [ 20 ]. It proposed a general model of material moisture changes in the installation.…”

Section: Introductionmentioning

confidence: 99%

Measurement-Based Modelling of Material Moisture and Particle Classification for Control of Copper Ore Dry Grinding Process

Krauze

Buchczik

Budzan

2021

Sensors

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Moisture of bulk material has a significant impact on energetic efficiency of dry grinding, resultant particle size distribution and particle shape, and conditions of powder transport. As a consequence, moisture needs to be measured or estimated (modelled) in many points. This research investigates mutual relations between material moisture and particle classification process in a grinding installation. The experimental setup involves an inertial-impingement classifier and cyclone being part of dry grinding circuit with electromagnetic mill and recycle of coarse particles. The tested granular material is copper ore of particle size 0–1.25 mm and relative moisture content 0.5–5%, fed to the installation at various rates. Higher moisture of input material is found to change the operation of the classifier. Computed correlation coefficients show increased content of fine particles in lower product of classification. Additionally, drying of lower and upper classification products with respect to moisture of input material is modelled. Straight line models with and without saturation are estimated with recursive least squares method accounting for measurement errors in both predictor and response variables. These simple models are intended for use in automatic control system of the grinding installation.

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“…However, when discussing the continuous grinding process in grinding and classification circuits, such an effect will not occur. The above results motivated the research team to study the influence of processed material moisture on the grinding process in EMM effectiveness [20,29]. A decision was made not only to measure the moisture of the material, but also control it on the required level to increase the grinding effectiveness.…”

Section: Product Parametersmentioning

confidence: 99%

Comparison of Wet and Dry Grinding in Electromagnetic Mill

et al. 2018

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Abstract:Comparison of dry and wet grinding process in an electromagnetic mill is presented in this paper. The research was conducted in a batch copper ore grinding. Batch mode allows for precise parametrization and constant repetitive conditions of the experiments. The following key aspects were tested: processing time, feed size, size of the grinding media, mass of the material and graining media, and density of the pulp. The particles size distribution of the product samples was analyzed in the laboratory after each experiment. The paper discusses the experimental results as well as the concept of dry and wet grinding and classification circuits for the electromagnetic mill. The main points of the discussion are the size reduction effectiveness and power consumption of the entire system.

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Preliminary studies on modelling the drying process in product classification and separation path in an electromagnetic mill installation

Cited by 7 publications

References 6 publications

Mathematical Model to Calculate the Trajectories of Electromagnetic Mill Operating Elements

Mathematical Model to Calculate the Trajectories of Electromagnetic Mill Operating Elements

Measurement-Based Modelling of Material Moisture and Particle Classification for Control of Copper Ore Dry Grinding Process

Comparison of Wet and Dry Grinding in Electromagnetic Mill

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