DOI: 10.15507/2658-4123.034.202402.191-212

### Modeling of the Producing Concentrated Compound Feed when Changing the Compound Feed Machinery

Igor E. Priporov
Cand.Sci. (Eng.), Associate Professor, Associate Professor of the Department of Tractors, Automobiles and Technical Mechanics, Kuban State Agrarian University named after I.T. Trubilin (13 Kalinina St., Krasnodar 350044, Russian Federation), ORCID: https://orcid.org/0000-0002-8201-2819, Researcher ID: N-4901-2016, This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract
Introduction. For small farms, an urgent task is to adapt standard compound feed machinery for producing the specified local feeds. It is necessary to use sunflower seeds for producing oil and fat sunflower meal for cattle. There are no universal presses suitable for producing sunflower meal. The process of crushing sunflower meal also causes difficulties. Therefore, we need a set of machines for this operation.
Aim of the Study. The article is aimed at developing a mathematical model for producing sunflower meal on the field plot and feed concentrates with the use of the compound feed machinery, and for determining the optimal field plot and machinery with minimal technical and economic indicators.
Materials and Methods. The developed algorithm in view of the mathematical model is implemented in the Microsoft Excel 2016 program. The results and calculations for the choice of rational option of machinery for producing sunflower meal on a field plot are presented in the text of the article. Technical and economic indicators and costs of the workshop and its operation are calculated according to the recommendations of Doctor of technical sciences, Professor V. V. Konovalov, but taking into account the expressions obtained for technological calculation.
Results. A mathematical model for producing concentrated compound feed is developed. The calculations carried out for the choice of a rational option of the field plot and the compound feed machinery showed the schemes of machines that meet the objectives of the study.
Discussion and Conclusion. For the conditions under consideration, an effective option among the presented field plots, from an economic point of view, is the field plot and compound feed machinery presented at the scheme 1 (table 1). Technological calculation of the sunflower meal production plot and the compound feed machinery was carried out based on the developed algorithm in view of the mathematical model for producing concentrated compound feed and the program for its implementation, their technical and economic indicators, and the costs of the workshop and its operation were calculated, and the rational option of the field plot and the compound feed machinery were selected. The economic effect of the selected field plot and compound feed machine was achieved by reducing annual operating and other direct costs, reduced costs.

Keywords: modeling, livestock enterprises, sunflower meal, local feed, concentrated compound feed, compound feed machinery

Conflict of interest: The authors declare no conflict of interest.

Funding: The study was carried out as part of the state budget research.

Acknowledgements: The authors would like to thank anonymous reviewers.

For citation: Priporov I.E. Modeling of the Producing Concentrated Compound Feed when Changing the Compound Feed Machinery. Engineering Technologies and Systems 2024;34(2):191–212. https://doi.org/10.15507/2658-4123.034.202402.191-212

All authors have read and approved the final manuscript.

Submitted 26.01.2024; revised 08.02.2024;
accepted 01.03.2024

REFERENCES

1. Mishurov N.P. Recommended Technologies of Combined Feed’s Production In Farms. Journal of VNIIMZH. 2015;(4):6–14. (In Russ., abstract in Eng.) EDN: VBWKEV

2. Chupshev A.V. Justification of the Prospective Operational Scheme Preparation of Mixed Fodder Concentrates in the Conditions of Livestock Enterprises. Volga Region Farmland. 2021;(3):135–141. (In Russ., abstract in Eng.) https://doi.org/10.36461/NP.2021.60.3.022

3. Vinnitsky S., Romanyuk V., Savinykh P.A., Skorkin V.K. Improvement of High-Production Cowsʼ Feeding Technology. Journal of VNIIMZH. 2019;(3):147–151. (In Russ., abstract in Eng.) EDN: TJRZPE

4. Konovalov V.V., Teryushkov V.P., Petrova S.S. Modeling Milk Yield of Cattle Breed When Changing Technological Processes. Bulletin Samara State Agricultural Academy. 2021;(1):27–34. (In Russ., abstract in Eng.) EDN: EWXXCB

5. Valge A.M., Perepopsky A.N. [A Mathematical Model of the Feed Structure of a Dairy Cattle Herd Using Flattened Grain]. Izvestiya Saint-Petersburg State Agrarian University. 2017;(49):286–291. (In Russ.) EDN: YOKBAS

6. Varaksin S.V., Dotsenko S.M., Kryuchkova L.G. [An Economic and Mathematical Model for Evaluating Innovative Technology for the Preparation of Feed Products Based on Soy-Grain Compositions]. AgroEcoInfo. 2018;(1):47. (In Russ.) EDN: XSUWAX

7. Dotsenko S.M., Burmaga A.V., Goncharuk O.V., Ivanin A.G., Vinokourov S.A. Scientific and Technical Aspects of Systems and Devices for Innovative Products on the Basis of Soy and Vegetable Compositions. Bulletin of ESSTUM. 2017;(1):16–20. (In Russ., abstract in Eng.) EDN: YHSTSD

8. Bulatov S.Yu., Zykin A.A., Nechaev V.N., Sergeev A.G., Shamin A.E. Model of Feed Preparation in the Conditions of Small Farms. Machinery and Equipment for Rural Area. 2023;(4):26–30. (In Russ., abstract in Eng.) https://doi.org/10.33267/2072-9642-2023-4-26-30

9. Pavlidis V.D., Chkalova M.V., Shakhov V.A. Stochastic Modelling of the Technological Process to Produce Combined Feed. Achievements of Science and Technology of AICis. 2022;36(10):78–83. (In Russ., abstract in Eng.) EDN: ATKVMK

10. Yanhan W., Xiaoyu L., Enrong M., Yuefeng D., Fan Y. Design and Development of Monitoring Device for Corn Grain Cleaning Loss Based on Piezoelectric Effect. Computers and Electronics in Agriculture. 2020;179:105793. https://doi.org/10.1016/j.compag.2020.105793

11. Al-Maidi A.A.H., Himoud M.S., Kaliganov A.C., Teryushkov V.P., Chupschev A.V., Konovalov V.V., et al. Modelling the Guality of the Mixture in a Continuous Paddle Mixer. International Journal of Agricultural and Statistical Sciences. 2021;16:1769–1774. EDN: NIZZWM

12. Manuel O.B., Vanessa F., Oleg A.K., Bulat Z. Airflow Simulation and Inlet Pressure Profile Optimization of a Grain Storage Bin Aeration System. Computers and Electronics in Agriculture. 2019;164:104923. https://doi.org/10.1016/j.compag.2019.104923

13. Chkalova M., Pavlidis V. Assessment of Equipment Efficiency in Models of Techno-logical Processes for Production of Combined Feed. Engineering for Rural Development. 2021;20:843–848. https://doi.org/10.22616/ERDev.2021.20.TF193

14. Muangpratoom P. The Effect of Temperature on the Electrical Characteristics of Nanofluids Based on Palm Oil. Journal of Engineering and Technological Sciences. 2021;53(3):210312. https://doi.org/10.5614/j.eng.technol.sci.2021.53.3.12

15. Burmaga A.V., Kurkov Yu.B., Samuilo V.V., Panova E.V., Chubenko A.V., Vinokurov S.A. [Mathematical Model for Assessing the Quality of the Process Producing Moistened-Enriched Grain Raw Materials]. AgroEcoInfo. 2022;(4):1–9. (In Russ.) https://doi.org/10.51419/202124413

16. Krupenin P.Y. The Mathematical Model of Feed Suspension Movement in the Channels of Rotary Impulse Device. BarSU Herald. 2018;(6):96–103. (In Russ., abstract in Eng.) EDN: XRSMNN

17. Kerimov M.A., Ivanov D.V. Bioenergy Model of Plant Raw Materials and Assessment of Feed Production Technologies. Agricultural Machinery and Technologies. 2023;17(1):51–61. (In Russ., abstract in Eng.) https://doi.org/10.22314/2073-7599-2023-17-1-51-61

18. Solonshchikov P., Savinykh P., Aleshkin A., Kipriyanov F. Development of a Mathematical Model of the Process of Mixing Liquid Feed in an Experimental Setup and Optimization of Design Parameters. E3S Web of Conferences. 2023;420:10. https://doi.org/10.1051/e3sconf/202342009002

19. Kisilyov R., Luzan P., Bohatyrov D., Nesterenko O. Study of the Mixing Process With a Paddle Mixer for Cattle. National Interagency Scientific and Technical Collection of Works. Design, Production and Ex-ploitation of Agricultural Machines. 2022;52:66–72. https://doi.org/10.32515/2414-3820.2022.52.66-72

20. Bekele G. Development of Livestock Feed Mixer. International Journal of Scientific and Research Publications. 2020;10(10):481–486. https://doi.org/10.29322/IJSRP.10.10.2020.p10665

21. Khanin S.I., Kikin N.O., Zybin R.V., Khanina E.G. Analysis of the Influence of Rod Elements on the Mixing Process of Two Compo-nents in a Twin-Shaft Paddle Mixer. Digital Technologies in Construction Engineering. 2022;173:175–182. https://doi.org/10.1007/978-3-030-81289-8_23

22. Cai R., Hou Z., Zhao Y. Numerical Study on Particle Mixing in a Double-Screw Con-ical Mixer. Powder Technology. 2019. Vol;352:193–208. https://doi.org/10.1016/j.powtec.2019.04.065

23. Roh J., Kim J., Lee M.S., Moon I. DEM Study of a Mixer for Core Manufacturing System. Computer Aided Chemical Engineering. 2019;46:799–804. https://doi.org/10.1016/B978-0-12-818634-3.50134-X

24. Nvestigation of Influence of Slotted Holes in Blades of Horizontal Blade Mixer on Quality of Preparation of Two-Component Dry Mixture. Bulletin of Belgorod State Technological University named after V.G. Shukhov. 2023;8(6):85–93. (In Russ., abstract in Eng.) https://doi.org/10.34031/2071-7318-2023-8-6-85-93

25. Khanin S.I., Kikin N.O., Zybin R.V., Khanina E.G. Analysis of the Influence of Rod Elements on the Mixing Process of Two Components in a Twin-Shaft Paddle Mixer. Digital Technologies in Construction Engineering. 2021:175–182. https://doi.org/10.1007/978-3-030-81289-8_23

26. Valigi M.C. Model-Based Method Predicting Useful Life of Concrete Mixers // Plant Precast Technol. 2020;71(11):38–42. Available at: http://www.scopus.com/inward/record.url?eid=2-s2.0-84887012955&partnerID=MN8TOARS (accessed 20.12.2023).

27. Marczuk A., Sysuev V., Aleshkin A., Savinykh P., Turubanov N., Tomporowski A. Theoretical Studies of the Interaction between Screw Surface and Material in the Mixer. Materials. 2021;14:962. https://doi.org/10.3390/ma14040962

28. Bao Y., Li T., Wang D., Cai Z., Gao Z. Discrete Element Method Study of Effects of the Impeller Configuration and Operat-ing Conditions on Particle Mixing in a Cylindrical Mixer. Particuology. 2020;49:146–158. https://doi.org/10.1016/j.partic.2019.02.002

29. Okereke C.J., Lasode O.A., Ohijeagbon I.O. Exergoeconomic Analysis of an Indus-trial Beverage Mixer System. Heliyon. 2020;6(7):e04402. https://doi.org/10.1016/j.heliyon.2020.e04402

30. Kiktev N.A., Miroshnyk V.A., Lendiel T.I., Ivanenko V.I. Arduino Research and Modeling of the Information and Management System in the Production of Combicor on the Arduino Integrated Basis. Innovation in Agriculture. 2020;(2):51–61. (In Russ., abstract in Eng.) EDN: WOQLMX