Indirect measurements of milling product quality in the classification system of electromagnetic mill

Buchczik, Dariusz; Wegehaupt, Jan; Krauze, Oliwia

doi:10.1109/mmar.2017.8046973

Cited by 7 publications

(12 citation statements)

References 7 publications

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“…The measurements were carried out by means of thermogravimetric method (precise weighing of wet and dried material), using moisture analyzer RADWAG MA 110.R. For the details of the measurement process, see [ 19 ]. For the full set of collected moisture data, see supplementary materials, Tables S4–S9 .…”

Section: Methodsmentioning

confidence: 99%

“…The methods of online moisture measurement for input material and product streams in grinding system with the electromagnetic mill were already studied by the authors of present publication in [ 9 , 19 ]. However, material moisture needs to be monitored also in other parts of the installation—inside the grinding chamber, throughout the pneumatic transport pipeline, etc.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Methodsmentioning

confidence: 99%

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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“…Such a system for dry grinding process was developed [14] and patented [15] by the consortium of Polish universities and companies: Silesian University of Technology, AGH University of Science and Technology, ELTRAF Company (EMM producer, Lubliniec, Poland) and AMEplus Company (integrator of automation systems, Gliwice, Poland). Modelling of the air transport paths was carefully studied [16][17][18], classification capabilities were examined [19,20], and control problems were discussed [21][22][23]. Section 2.2 describes the idea of the entire system and describes differences between wet and dry grinding circuits.…”

Section: Device Descriptionmentioning

confidence: 99%

“…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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“…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.…”

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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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Indirect measurements of milling product quality in the classification system of electromagnetic mill

Cited by 7 publications

References 7 publications

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

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

Mathematical Model to Calculate the Trajectories of Electromagnetic Mill Operating Elements

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