Issue №: 3 (130)
The journal solves the problems of creation and improvement of machinery and technologies for agriculture: 131 - Applied Mechanics, 132 - Materials Science, 133 - Industrial Engineering, 141 - Power Engineering, Electrical Engineering and Electromechanics, 208 - Agricultural Engineering
SYSTEM MODEL OF THE MIXING PROCESS IN THE FEED PREPARATION TECHNOLOGICAL CHAIN
Ihor KUPCHUK – Candidate of Technical Sciences, Associate professor, Associate Professor of the Department of Engineering Mechanics and Technological Processes in the Agricultural Industry, Faculty of Engineering and Technology, Vinnytsia National Agrarian University (3, Sonychna St., Vinnytsia, 21008, Ukraine, e-mail: kupchuk.igor@i.ua; http://orcid.org/0000-0002-2973-6914).
The article examines the role of the feed-mixing process within the technological chain of feed preparation and its significance in ensuring the stable quality of feed mixtures and improving the energy efficiency of agricultural machinery. The purpose of the study is to provide a systematic generalization of the factors, methods, and criteria for evaluating the efficiency of the mixing process and to identify scientific and methodological gaps that limit further development of mixer designs and operating regimes. The research methodology combines system analysis, mechano-technological modeling, and a comparative-analytical approach to process evaluation. A comprehensive review of scientific and patent-technical sources was conducted, and current solutions in vertical mixer design and efficiency assessment methods were analyzed. A structural-logical model of the mixing process was developed, comprising three interrelated subsystems: material, energy, and informational. Within this model, three interaction levels were distinguished: input parameters (material properties), control influences (machine design and operating parameters), and process outcomes (quality and energy indicators). A classification of factors determining mixing efficiency was generalized into three groups – material, technological, and constructive – with indication of key parameters and influence criteria.
Methods for assessing mixing efficiency were analyzed, including physico-chemical, physico-mechanical, energetic, and digital (intelligent-modeling) approaches. Generalized quality and energy efficiency criteria were proposed. It was established that existing methods remain fragmented and fail to comprehensively account for the interaction within the “machine–material–process” system. The need for the development of mechano-technological models of mixing that consider the rheological properties of feed materials, parameters of working elements, and operational modes was substantiated. The potential of CFD and DEM numerical modeling, combined with Smart Feeding sensor systems, was emphasized as a tool for adaptive real-time process control.
The obtained results form the theoretical and methodological basis for further research aimed at optimizing mixer designs, reducing specific energy consumption, and improving the stability of feed mixture quality under industrial conditions.
1. FAO & IFIF. (2020). Good practices for the feed sector: Implementing the Codex Alimentarius code of practice on good animal feeding (2nd ed.). FAO. [in English].
2. Schingoethe, D. J. (2017). A 100-year review: Total mixed ration feeding of dairy cows. Journal of Dairy Science, 100(12), 10143–10150. DOI: https://doi.org/10.3168/jds.2017-13249 [in English].
3. Costa, A., Agazzi, A., Perricone, V., Savoini, G., & Tangorra, F. M. (2019). Influence of different loading levels, cutting and mixing times on TMR homogeneity in a vertical mixer. Italian Journal of Animal Science, 18(1), 1093–1098. DOI: https://doi.org/10.1080/1828051X.2019.1618742 [in English].
4. Groesbeck, C. N., et al. (2007). Diet mixing time affects nursery pig performance. Journal of Animal Science, 85(7), 1793–1798. DOI: https://doi.org/10.2527/jas.2007-0019 [in English].
5. Kansas State University. (2019). Quality feed manufacturing guide: Batching and mixing. K-State. [in English].
6. Baumgartner, A., Mayer, D., & Schick, M. (2021). Energy efficiency and mixing uniformity in livestock feed preparation. Agricultural Engineering International: CIGR Journal, 23(4), 77–85. [in English].
7. Bach, A., Sola, A., & Cabrera, E. (2023). Precision while mixing total mixed rations and its impact on feed composition and animal performance. JDS Communications, 4(4), 235–242. [in English].
8. Muzzio, F. J., Shinbrot, T., & Glasser, B. J. (2002). Powder technology and mixing dynamics. Powder Technology, 124(3), 1–10. [in English].
9. Bridgwater, J. (2010). Mixing of powders and granular materials. Particuology, 8(6), 563–567. [in English].
10. Muzzio, D. (2000). Characterization of mixing processes in powder systems. Chemical Engineering Science, 55(20), 4409–4420. [in English].
11. Zhang, H., Liu, X., & Li, W. (2020). Rheological behavior of silage and implications for mixer design. Biosystems Engineering, 197, 108–120. DOI: https://doi.org/10.1016/j.biosystemseng.2020.06.015 [in English].
12. Wang, Z., Liu, Y., & Zhang, H. (2021). Viscoplastic flow modeling of wet feed mixtures. Journal of Food Engineering, 292, 110238. DOI: https://doi.org/10.1016/j.jfoodeng.2020.110238 [in English].
13. Li, C., He, X., & Xu, Y. (2020). CFD simulation and optimization of feed mixing blades. Computers and Electronics in Agriculture, 175, 105624. DOI: https://doi.org/10.1016/j.compag.2020.105624 [in English].
14. Tölgyesi, D., Bakonyi, S., Kiss, G., et al. (2023). Digitalization and smart technologies in animal nutrition systems. Sensors, 23(5), 2558. DOI: https://doi.org/10.3390/s23052558 [in English].
15. Trioliet. (2025). Feed management / Weighing systems / TFM App / Cab Control. URL: https://www.trioliet.com/products/weighing-systems/feed-app-cab-control [in English].
16. Jaylor. (2023). OrbitEvo intelligent controller and load sensing in TMR systems (Catalogue Rev-8). URL: https://jaylor.com/wp-content/uploads/2023/12/Rev-8-Catalogue-FINAL-compressed.pdf [in English].
17. Tian, F., Zhang, H., Li, J., et al. (2020). Finite element simulation and performance test of loading and mixing characteristics of self-propelled TMR mixer. Advances in Materials Science and Engineering, Article 6875816. DOI: https://doi.org/10.1155/2020/6875816 [in English].
18. Buckmaster, D. R. (2014). Assessing uniformity of total mixed rations (Technical report). Purdue University. [in English].
19. Escribà-Gelonch, M., Boix, J., & Llorens, E. (2024). Digital twins in agriculture: Applications and integration. Sensors, 24(8), 3562. DOI: https://doi.org/10.3390/s24083562 [in English].
20. Tangorra, F. M., Buoio, E., Calcante, A., Bassi, A., & Costa, A. (2024). Internet of things (IoT): Sensors application in dairy cattle farming. Animals, 14(21), 3071. DOI: https://doi.org/10.3390/ani14213071 [in English].
About journal
The magazine "Engineering, Energy, Transport AIC" is included in the list of scientific professional editions of Ukraine on technical sciences
(Category "Б", Order of the Ministry of Education and Science of Ukraine dated 02.07.2020 №886)
According to the decision of National Council of Television and Radio Broadcasting of Ukraine from 25.04.2024 No. 1337 the scientific journal «Engineering, Energy, Transport AIC» has the ID of the Media R30-05173.
The journal "Engineering, Energy, Transport AIC" is indexed according to the following databases and catalogs:
Certificate of state registration of mass media: No. 21906-11806 P dated 03/12/2016.
Founder of the journal: Vinnytsia National Agrarian University
Type of publication: journal
Kind of publication: scientific
Publication status: domestic
Year of foundation: 1997
Periodicity: 4 times per year
Volume: 18-20 conv. print. sheet (А4)
ISSN: 2520-6168 (print version), (online version)
Language of publication: (mixed languages) Ukrainian, English
The sphere of distribution and category of readers: national, foreign, faculty, scientists, entrepreneurs.
The periodical edition is included to the List of scientific professional publications of Ukraine on technical sciences, approved by order of the Ministry of Education and Science of Ukraine in 05.16.2016, No. 515.
The journal "Engineering, Energy, Transport AIC" is included in the "Catalog of Ukrainian Publications".
Subscription to the journal can be issued in each post office. The subscription index is 99720.
Technology, energy, agriculture transport AIC is a scholarly professional journal with a long-standing history and stable academic tradition, reflecting the evolution of engineering and technical sciences within the agro-industrial sector of Ukraine.
The journal was founded in 1997 under the title Bulletin of Vinnytsia State Agricultural Institute. According to the Resolution of the Presidium of the Higher Attestation Commission of Ukraine dated September 11, 1997, the publication obtained the status of a professional scientific journal, which enabled the publication of the main results of doctoral and candidate dissertations in technical sciences. From its inception, the journal positioned itself as an academic platform for addressing current issues of mechanization, electrification, and technical support of agricultural production.
During 2001–2014, the journal was published under the title Proceedings of Vinnytsia National Agrarian University. Series: Technical Sciences (State Registration Certificate of Print Media KV No. 16644-5116 PR dated April 30, 2010). Throughout this period, a systematic approach to the selection and peer review of scientific manuscripts was established, the thematic scope of publications was expanded, and continuity of scientific directions as well as the development of sectoral engineering schools was ensured.
Since 2015, the journal has been published under its current title, Technology, energy, agriculture transport AIC (State Registration Certificate No. 21906-11806 R dated March 12, 2016). The change of title reflected the expansion of the journal’s thematic coverage and its orientation toward interdisciplinary research in mechanical engineering, energy systems, electrical engineering, transport technologies, automation, and digital solutions for the agro-industrial complex.
The journal consistently adheres to the principles of open science. All published materials are distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), ensuring open access to research results provided proper attribution to the authors and the original publication is maintained.
At present, Technology, energy, agriculture transport AIC is an authoritative professional scientific journal (Category B), providing a platform for the publication of fundamental and applied research results, promoting the integration of education, science, and industry, and contributing to the advancement of engineering and technological support of the agro-industrial complex of Ukraine.
