Optimization of the process of mixing liquid-phase heterogeneous products by mathematical modeling
https://doi.org/10.20914/2310-1202-2020-1-47-52
Abstract
The main objective of the experimental study of all processes is the analysis, study and generalization of all available results. In accordance with the idea of a step search, the experiment was carried out in several stages. The number of stages and actions at each of them depended on the results of the previous stage and the ultimate goal of research. The ultimate goal of the study is to determine the optimal conditions for the process of mixing the liquid aggregates to obtain a homogeneous structure. Studies of the mixing process were carried out on an experimental setup created at the department. To process experimental studies, the STATISTICA 12 software package was used. To obtain the regression equation, the matrix data were processed using the Microsoft Excel 2010 software package. To optimize the process, the output parameters were converted to a dimensionless scale of desirability d. It was established that the desirability function D, which characterizes the adequacy of the obtained values, has an extremum in experiment 12 and is 0.733666. Based on the obtained data, the following parameters should be considered optimal when mixing liquid aggregates: the peripheral speed of the mixer shaft is within 4 m/s, while the mixing time is 8 s and the refrigerant concentration is 20%.
About the Authors
A. B. Emelyanov
Voronezh State University of Engineering Technologies
Russian Federation
Cand. Sci. (Engin.), associate professor, compound technologies, polymer processing and technosphere safety department, Revolution Av., 19 Voronezh, 394036, Russia
Russian Federation
Cand. Sci. (Engin.), associate professor, compound technologies, polymer processing and technosphere safety department, Revolution Av., 19 Voronezh, 394036, Russia
M. V. Kopylov
Voronezh State University of Engineering Technologies
Cand. Sci. (Engin.), associate professor, fat technology, processes and devices of chemical and food industries department, Revolution Av., 19 Voronezh, 394036, Russia
Cand. Sci. (Engin.), associate professor, fat technology, processes and devices of chemical and food industries department, Revolution Av., 19 Voronezh, 394036, Russia
D. A. Kazartsev
K.G. Razumovsky Moscow State University of Technologies and Management
Cand. Sci. (Engin.), associate professor, technology of fermentation and winemaking named after G.G. Agabalian, Zemlyanoy Val street 73, Moscow, 109004, Russia
Cand. Sci. (Engin.), associate professor, technology of fermentation and winemaking named after G.G. Agabalian, Zemlyanoy Val street 73, Moscow, 109004, Russia
M. K. Abrahamyan
Voronezh State University of Engineering Technologies
master student, compound technologies, polymer processing and technosphere safety department, Revolution Av., 19 Voronezh, 394036, Russia
master student, compound technologies, polymer processing and technosphere safety department, Revolution Av., 19 Voronezh, 394036, Russia
M. V. Nechaev
Start
associate professor, director, Prospect Truda, 91, of. 211,Voronezh, Russia
associate professor, director, Prospect Truda, 91, of. 211,Voronezh, Russia
References
1. Kopylov M.V., Tatarenkov E.A., Tkachev O.A., Gorbatova A.V. Optimization of the process of extraction of vegetable oil by the method of mathematical modeling. Proceedings of VSUET. 2017. no. 1. pp. 28–33. (in Russian).
2. Ostrikov A.N., Slyusarev M.I., Gorbatova A.V., Shendrik T.A. Diffusion model of mixing creamy-vegetable spreads. Proceeding of VSUET. 2015. no. 3. pp. 7–12. (in Russian).
3. Rodrigues J. et al. Modeling and optimization of laboratory-scale conditioning of Jatropha curcas L. seeds for oil expression. Industrial Crops and Products. 2016. vol. 83. pp. 614–619.
4. Mateyev Y.Z., Shalginbaev D.B., Mateyeva S.Z., Kopylov M.V. et al Mathematical modeling of the extracting process of vegetable oil on auger equipment. EurAsian Journal of BioSciences 13. 2019. pp. 1875–1880.
5. Frolova L.N., Vasilenko V.N., Kopylov M.V., Derkanosova A.A. et al. Optimization of parameters of the process of obtaining biofuels by methods of mathematical modeling. Bulletin of the International Academy of Refrigeration. 2015. no. 3. pp. 63–67. (in Russian).
6. Yanchukovskaya E.V. Mathematical modeling of a chemical reactor of ideal mixing. University proceedings. Applied Chemistry and Biotechnology. 2014. no. 6 (11). pp. 74–80. (in Russian).
7. Petrov V.N., Fafurin V.A., Mukhametshina G.F., Malyshev S.L. Mathematical modeling of the process of circulating mixing of a two-component liquid phase. Bulletin of the Technological University. 2017. vol. 20. no. 15. pp. 123–126. (in Russian).
8. Shahi S., Ghasemi N., Rahimi S., Yavari H. et al. The Effect of Different Mixing Methods on Working Time, Setting Time, Dimensional Changes and Film Thickness of Mineral Trioxide Aggregate and Calcium-Enriched Mixture. Iranian endodontic journal. 2015. vol. 10. no. 4. pp. 248.
9. Basturk F.B., Nekoofar M.H., G?nday M., Dummer P.M. The effect of various mixing and placement techniques on the compressive strength of mineral trioxide aggregate. Journal of endodontics. 2013. vol. 39. no. 1. pp. 111–114.
10. Sarli G.O., Filgueira R.R., Gim?nez D. Measurement of soil aggregate density by volume displacement in two non-mixing liquids. Soil Science Society of America Journal. 2001. vol. 65. no. 5. pp. 1400–1403.
Review
For citations:
Emelyanov A.B., Kopylov M.V., Kazartsev D.A., Abrahamyan M.K., Nechaev M.V. Optimization of the process of mixing liquid-phase heterogeneous products by mathematical modeling. Proceedings of the Voronezh State University of Engineering Technologies. 2020;82(1):47-52. (In Russ.) https://doi.org/10.20914/2310-1202-2020-1-47-52
Views:
568
Email this article 
Post a Comment 
