
Theoretical substantiation of the principles of continuous control of grinding equipment modes at the stage of cereal formation
Author(s) -
V A Lepikhova,
Nadezda V. Lyashenko,
N N Chibinev,
A V Vyaltsev,
E V Skrinnikov
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/979/1/012061
Subject(s) - grinding , noise (video) , mill , spectrum analyzer , particle size distribution , fineness , grain size , range (aeronautics) , materials science , acoustics , process engineering , mathematics , particle size , computer science , mechanical engineering , engineering , composite material , physics , artificial intelligence , electrical engineering , chemical engineering , image (mathematics)
In the article, the object of research is continuous control of the granulometric composition of the grain grinding mass at the exit of the roller mill, by analyzing the spectrum of acoustic noise generated during the grinding of grain products. The development of a vibroacoustic technique for continuous control of distribution according to the criteria of crushed grain products in the operational mode of mill enterprises is presented. Vibroacoustic noises emitted by the crushed fractions of a grain product are decomposed by a spectrum analyzer into additive spectral components according to consumer classification commodity grinding groups. Decomposition into spectra of vibroacoustic signals is carried out by an analogue spectrum analyzer SK4-56 with the establishment of a correspondence between subspectra and group commodity classification consumer units using the theory of pattern recognition by a training method based on the method of potential functions. To simplify the classification identification procedure, unambiguous correspondences are established between the subspectra and the relative noise level in the corresponding frequency range. In contrast to the existing methods of indirect control of the degree of product fineness, by the size of the roll gap or by the amount of power consumed from the network by the drive motor of the roller mill, or by the magnitude of pressure on a slowly rotating roll, or by the magnitude of the electrical resistance of the crushed grain mass coming out of the roll mill and other methods that give a very rough measurement of the particle size distribution, the proposed method of using spectrograms gives a better approximation model, since it relies on the use of Fourier spectra, which give more adequate correspondences between the spectral model and consumer classification groups. Granulometric analysis of the crushed grain mass is carried out in the frequency range from infrasonic frequencies to ultrasonic bandwidths not exceeding 60 kHz.