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Title: Theoretical and experimental study of the process of wet cleaning of wax raw materials from organic impurities
Authors: N. V. Byshov, I. A. Uspenskiy, D. E. Kashirin, D. N. Byshov, V. V. Pavlov, A. V. Protasov, S. S. Morozov, A. M. Afanasyev, S. N. Gobelev, V. V. Kochenov, A. V. Kupriyanov
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2019
Volume: 14
Issue: 14
Language: English
The aim of this study is the scientific substantiation of the parameters of the process of wet cleaning of wax raw materials from impurities, bee bread, in particular, and the development of a theoretical model of water dispersion of impurities and verification of the model obtained in the laboratory experiment. The basis for constructing a mathematical model is the idea based on the assumption that a boundary layer exists on the surface of a solid that dissolves in a liquid medium, through which the transfer of particles of the solid phase into the bulk of a liquid takes place. In this case, the rate of mass transfer is directly proportional to the energy expended on the forced mixing of the system under consideration. The model includes three variables: the intensity of mixing, the time of the process and the residual concentration at any time. In the model obtained, the nonlinear effect of the dependence of the residual concentration on the time and intensity of the dispersion process is clearly manifested. It is theoretically established that with an increase in intensity, the time for complete dissolution is significantly reduced. The article presents the description and results of a multi-factor experiment that establishes the effect of mixing intensity, mixing time and particle size distribution of the material under study on the degree of dispersion in water, which is estimated by the percentage of undissolved material from the initial mass, calculated on the dry matter. Comparison of dependences obtained theoretically and experimentally show sufficient convergence of the results. The results obtained can serve as a basis for designing specialized means of mechanization to calculate productivity, energy intensity and other parameters of the cleaning process.
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