Optimization of fine grinding on the acoustic monitoring basis

Pryadko, N.S.

doi:10.1201/b18475-14

Cited by 3 publications

(1 citation statement)

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“…-показники енергоефективності за об'єктом. The jet grinding efficiency is estimated [188] by the conditional coefficient Ke = Q / lg N  (g / imp), which characterizes the ratio of the mill productivity Q to the corresponding logarithm of acoustic activity in the grinding zone. A linear relationship has been established between the Ke coefficient and the mill productivity for various heterogeneous material processing (chamotte, limestone, slag, brown and gas coal).…”

Section: Section 4 Electrical Engineering 41 Prospects For Biogas Tmentioning

confidence: 99%

Theoretical Aspects of Modern Engineering

Vladlenov¹

2020

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Section: Section 4 Electrical Engineering 41 Prospects For Biogas Tmentioning

confidence: 99%

Theoretical Aspects of Modern Engineering

Vladlenov¹

2020

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Acoustic method of jet grinding study and control

et al. 2019

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Jet grinding considers a rather energy-intensive production. For obtaining high mill productivity, it is necessary to control the process in order to prevent the transfer the energy intensity value to a critical one. This work shows the possibilities of jet grinding studying based on the process acoustic signal analysis and to develop a mill mode control system to achieve optimum productivity. There were determined that decrease in the activity and maximum amplitudes of the acoustic signals in the grinding zone is a sign of deviation from the optimal fine grinding mode, which leads to a decrease in the mill productivity and requires timely material loading. For control of ground product quality it’s necessary to control the frequency dispersion of signals corresponding to the control class, and check the absence or presence of signals corresponding to other size classes for zone behind the classifier. The developed automated control system of jet grinding allows implementing the optimal parameters of the mill operation by control the acoustic parameters of the grinding zone for optimum jet loading with material. The dispersion control of the ready product is based on acoustic monitoring of a two-phase flow in the product transportation zone.

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Increasing the efficiency of grinding plants by the use of acoustic monitoring

Pryadko¹

2018

Teh. Meh.

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The high energy intensity of the bulk material grinding process explains the topicality of the problem of increasing the process efficiency in jet grinding plants. The aim of this paper is to analyze the results of investigations into the development of new approaches to the optimization of the dry fine grinding process and grinding product quality control.Grinding product particle size distribution formation regularities and mechanism such that the required particle size is achieved with minimal energy consumption were established. A critical level of fine grinding energy intensity was found out. A scientific approach to reducing the specific power consumption in closed cycles of fine grinding was developed based on a balance and a simulation model.A method was developed for jet grinding study based on acoustic monitoring of the grinding plant working areas. The process parameters were related to the acoustic ones, and the regularities of acoustic radiation from a jet grinding plant were determined. The use of acoustic monitoring in the determination of the particle size of bulk materials of various properties was justified. Experimental plants were developed for the in-flow analysis of the material particle size distribution. The dependence of the characteristic frequency dispersion on the particle mass and the fraction size in the mixture was established, which allows the contactless determination and prediction of the material particle size distribution in a gas flow. A grinding product quality control technique was developed and tested in industrial conditions. Several lines of jet grinding optimization and a power consumption evaluation and prediction method were developed. The jet grinding regime visualization and identification system developed on the basis of information technologies and acoustic monitoring results allows one to choose the optimum parameters of the jet grinding process with a minimum of starting experimental data. There is a need to continue the development of an automated system that would control the jet grinding process based on the analysis of its acoustic signals.

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Optimization of fine grinding on the acoustic monitoring basis

Cited by 3 publications

References 1 publication

Theoretical Aspects of Modern Engineering

Theoretical Aspects of Modern Engineering

Acoustic method of jet grinding study and control

Increasing the efficiency of grinding plants by the use of acoustic monitoring

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