Scientific Reports of the National University of Life and Environmental Sciences of Ukraine

Optimisation of the operating parameters of the vibration cleaning machine to improve the quality of seed cleaning

Yurii Reva, Ivan Galich, Oleksandr Lukianenko
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Abstract

The relevance of the study was determined by the need to improve the efficiency of grain material purification in the conditions of energy-limited agro-processing enterprises of Ukraine. The purpose of the study was to determine the optimal kinematic parameters of the oscillatory mode of operation of the machine, considering the specifics of cleaning wheat, barley, and millet seeds. To achieve this goal, a series of experimental studies was conducted using high-speed video recording, digital image processing, variance analysis, and energy audit. As a result, it was found that the optimal parameters of the oscillatory mode – a frequency of 11 Hz, an amplitude of 4.5-6.0 millimetres and an angle of inclination of 10-13 degrees – provided the highest cleaning efficiency indicators for three crops. Under these conditions, an average level of purification efficiency was achieved at the level of 98.2% for wheat, 97.3% for barley, and 98.4% for millet, while reducing specific seed losses to 1.2%, 1.3%, and 0.9%, respectively. A decrease in residual impurities to 0.6-1.7%, stabilisation of the technological process (the coefficient of variation did not exceed 3.3%), and an increase in the efficiency to 87-89% were recorded. Specific electricity costs decreased to 0.88-1.05 W·h/kg, which led to savings of UAH 12.4-15.8 per tonne of purified material. The overall economic effect due to the combined impact on energy consumption, seed loss, and increase in the commodity fraction amounted to UAH 66.8-81.2 per tonne, which confirmed the practical effectiveness of applying new parameters in the conditions of serial grain cleaning. The results obtained can be used by engineers, technologists, and designers to optimise the operating modes of vibration cleaning systems in the grain processing industry

Keywords

energy consumption, efficiency, load uniformity, oscillatory mode, economic effect, oscillation amplitude

Suggested citation
Reva, Yu., Galich, I., & Lukianenko, O. (2025). Optimisation of the operating parameters of the vibration cleaning machine to improve the quality of seed cleaning. Scientific Reports of the National University of Life and Environmental Sciences of Ukraine, 21(4),62-80. https://doi.org/10.31548/dopovidi/4.2025.62
References
  1. Bazaluk, O., Postnikova, M., Halko, S., Mikhailov, E., Kovalov, O., Suprun, O., Miroshnyk, O., & Nitsenko, V. (2022). Improving energy efficiency of grain cleaning technology. Applied Sciences, 12(10), article number 5190. doi: 10.3390/app12105190.
  2. Cai, Y., Luo, X., Hu, B., Mao, Z., Li, J., Guo, M., & Wang, J. (2022). Theoretical and experimental analyses of high-speed seed filling in limited gear-shaped side space of cotton precision dibbler. Computers and Electronics in Agriculture, 200, article number 107202. doi: 10.1016/j.compag.2022.107202.
  3. Chen, S., An, S., Kan, Z., Huang, L., Meng, H., Qi, J., & Peng, H. (2024). Design and optimization of an airflow-vibration sieving device for the effective cleaning of Cyperus esculentus L. harvesting mixture. International Journal of Agricultural and Biological Engineering, 17(4), 77-88. doi: 10.25165/j.ijabe.20241704.8359.
  4. Dai, F., Xu, P., Yuan, Z., Shi, R., Zhao, Y., Song, X., & Zhao, W. (2023). Simulation and optimization experiment: Working process of a cleaning device for flax combine harvester. Agriculture, 13(11), article number 2123. doi: 10.3390/agriculture13112123.
  5. Gao, X., Cui, T., Zhou, Z., Yu, Y., Xu, Y., Zhang, D., & Song, W. (2021). DEM study of particle motion in novel high-speed seed metering device. Advanced Powder Technology, 32(5), 1438-1449. doi: 10.1016/j.apt.2021.03.002.
  6. Jaques, L.B., Coradi, P.C., Rodrigues, H.E., Dubal, Í.T., Padia, C.L., Lima, R.E., & de Souza, G.A. (2022). Post-harvesting of soybean seeds – engineering, processes technologies, and seed quality: A review. International Agrophysics, 36(2), 59-81. doi: 10.31545/intagr/147422.
  7. Jiang, T., Guan, Z., Li, H., Zhang, M., Mu, S., Wu, C., & Jin, M. (2025). Collaborative optimization method of cleaning operational performance and multiparameter online control system for combine harvesters. Computers and Electronics in Agriculture, 235, article number 110389. doi: 10.1016/j.compag.2025.110389.
  8. Jin, C., Caiqi, L., Yaoming, L., Zhiqiao, Z., & Ming, Y. (2021). Design and experiment of automatic seed cleaning system for suction tray of pneumatic-vibrative tray precision seeder. In Proceedings of the 3rd International Conference on Applied Machine Learning (pp. 457-461). Changsha: IEEE. doi: 10.1109/ICAML54311.2021.00102.
  9. Kernel. (2025). Integrated report for the 2024/2025 marketing year. Retrieved from https://www.kernel.ua/wp-content/uploads/2024/12/Kernel_FY2025_Q1_report.pdf.
  10. Liu, W., He, J., Li, H., Ma, S., Zheng, K., Wei, Z., Lu, C., & Li, X. (2021). Optimization of design and operational parameters of a vibration-based seeding device for potato mini-tubers. Pakistan Journal of Agricultural Sciences, 58(6), 1731-1742. doi: 10.21162/PAKJAS/21.8947.
  11. Ma, W., Liu, T., Li, W., & Yang, H. (2023). The role of agricultural machinery in improving green grain productivity in China: Towards trans-regional operation and low-carbon practices. Heliyon, 9(10), article number e20279. doi: 10.1016/j.heliyon.2023.e20279.
  12. Matsunaga, F., Zytkowski, V., Valle, P., & Deschamps, F. (2022). Optimization of energy efficiency in smart manufacturing through the application of cyber-physical systems and industry 4.0 technologies. Journal of Energy Resources Technology, 144(10), article number 102104. doi: 10.1115/1.4053868.
  13. MHP. (n.d.). Sustainability reports. Retrieved from https://mhp.com.ua/en/mhp-se/nefinansovi-zviti.
  14. Nibulon. (2025). NIBULON’s sustainability criteria: Corporate governance and social initiatives. Retrieved from https://www.nibulon.com/kryterii-staloho-rozvytku-nibulon-korporatyvne-upravlinnia/.
  15. Niu, Q., Yu, W., Diao, R., Xiang, W., Liu, M., Wang, P., Li, H., & Wang, L. (2025). Analysis on motion characteristics of potato seed-tubers in a vibratory bowl feeder. SSRN. doi: 10.2139/ssrn.5149667.
  16. Olorunfemi, B.J., & Kayode, S.E. (2021). Post-harvest loss and grain storage technology – a review. Turkish Journal of Agriculture-Food Science and Technology, 9(1), 75-83. doi: 10.24925/turjaf.v9i1.75-83.3714.
  17. Palamarchuk, P., Omelyanov, O.M., Mushtruk, M.M., Vasyliv, V.P., Sarana, V.V., Zheplinska, M.M., Burova, Z.A., Gudzenko, M.M., & Filin, S.О. (2021). Substantiation of amplitude-frequency characteristics and design parameters of the vibration exciter of the separator of volume vibrations. Animal Science & Food Technologies, 12(2), 48-58. doi: 10.31548/animal2021.02.006.
  18. Popa, C., Costache, A., Ovanisof, A., & Petre, R.A. (2021). Influence of eccentricity of drive mechanisms and sieve vibrations on the quality of seed separation. In N. Herisanu & V. Marinca (Eds.), Acoustics and vibration of mechanical structures-AVMS 2019 (pp. 505-514). Cham: Springer. doi: 10.1007/978-3-030-54136-1_51.
  19. Reddy, R. (2022). Innovations in agricultural machinery: Assessing the impact of advanced technologies on farm efficiency. Journal of Artificial Intelligence and Big Data, 2(1), article number 1156. doi: 10.31586/jaibd.2022.1156.
  20. Sivakumar, S., Logeshwaran, J., Kannadasan, R., Faheem, M., & Ravikumar, D. (2024). A novel energy optimization framework to enhance the performance of sensor nodes in Industry 4.0. Energy Science & Engineering, 12(3), 835-859. doi: 10.1002/ese3.1657.
  21. Sohail, M., Pirzada, T., Opperman, C.H., & Khan, S.A. (2022). Recent advances in seed coating technologies: Transitioning toward sustainable agriculture. Green Chemistry, 24(16), 6052-6085. doi: 10.1039/D2GC02389J.
  22. State Statistics Service of Ukraine. (n.d.). Agriculture. Retrieved from https://www.ukrstat.gov.ua/operativ/menu/menu_u/cg.htm.
  23. Sun, D.J., Zheng, Y., & Duan, R. (2021). Energy consumption simulation and economic benefit analysis for urban electric commercial-vehicles. Transportation Research Part D: Transport and Environment, 101, article number 103083. doi: 10.1016/j.trd.2021.103083.
  24. Tang, H., Xu, C., Wang, Z., Wang, Q., & Wang, J. (2022). Optimized design, monitoring system development and experiment for a long-belt finger-clip precision corn seed metering device. Frontiers in Plant Science, 13, article number 814747. doi: 10.3389/fpls.2022.814747.
  25. Tang, K., Xie, J., Pan, Y., Zou, X., Sun, F., Yu, Y., Xu, R., & Chen, C. (2022). The optimization and regulation of energy consumption for MBR process: A critical review. Journal of Environmental Chemical Engineering, 10(5), article number 108406. doi: 10.1016/j.jece.2022.108406.
  26. Tiguh, E.E., Delele, M.A., Ali, A.N., Kidanemariam, G., & Fanta, S.W. (2024). Assessment of harvest and postharvest losses of teff (Eragrostistef (Zucc.)) and methods of loss reduction: A review. Heliyon, 10(9), article number e30398. doi: 10.1016/j.heliyon.2024.e30398.
  27. Wang, J., Qi, X., Xu, C., Wang, Z., Jiang, Y., & Tang, H. (2021). Design evaluation and performance analysis of the inside-filling air-assisted high-speed precision maize seed-metering device. Sustainability, 13(10), article number 5483. doi: 10.3390/su13105483.
  28. Wang, L., Yu, Y., Zhang, S., Feng, X., & Song, L. (2021). Bionic design and performance test of maize grain cleaning screen through earthworm motion characteristics. International Journal of Agricultural and Biological Engineering, 14(3), 12-21. doi: 10.25165/j.ijabe.20211403.6534.
  29. Xiong, D., Wu, M., Xie, W., Liu, R., & Luo, H. (2021). Design and experimental study of the general mechanical pneumatic combined seed metering device. Applied Sciences, 11(16), article number 7223. doi: 10.3390/app11167223.
  30. Xu, Z., Li, Y., Wan, L., Ma, X., Song, J., & Huang, J. (2023). Optimising the design of ball racks to improve the sorting efficiency of vibrating screen seed cleaners using discrete element method modelling and experiment. Biosystems Engineering, 225, 99-117. doi: 10.1016/j.biosystemseng.2022.12.006.
  31. Yan, D., Yu, J., Wang, Y., Zhou, L., Sun, K., & Tian, Y. (2022). A review of the application of discrete element method in agricultural engineering: A case study of soybean. Processes, 10(7), article number 1305. doi: 10.3390/pr10071305.
  32. You, Z., Gao, X., Yan, J., Wei, H., Wu, H., He, T., & Wu, J. (2022). Design and multi-parameter optimization of a combined Chinese milk vetch (Astragalus sinicus L.) Seed Harvester. Agriculture, 12(12), article number 2074. doi: 10.3390/agriculture12122074.
  33. Zhang, K., Khan, Z., Yu, Q., Qu, Z., Liu, J., Luo, T., Zhu, K., Bi, J., Hu, L., & Luo, L. (2022). Biochar coating is a sustainable and economical approach to promote seed coating technology, seed germination, plant performance, and soil health. Plants, 11(21), article number 2864. doi: 10.3390/plants11212864.
  34. Zhao, Z., Yang, X., & Zhang, G. (2022). Analysis and optimization test of operation process of cleaning device of corn seed harvester. INMATEH Agricultural Engineering, 68(3). doi: 10.35633/inmateh-68-21.
  35. Zhou, J., Xu, L., Zhao, J., Hang, X., & Zhou, H. (2022). Effective excitation conditions for the intense motion of the ginkgo seed-stem system during mechanical vibration harvesting. Biosystems Engineering, 215, 239-248. doi: 10.1016/j.biosystemseng.2022.01.014.