Engineering, Energy, Transport AIC

Vitalii KOSHULKO – Candidate of Technical Sciences, Associate Professor, Head of the Department of Food Technologies of Dnipro State Agrarian and Economic University (St. S. Efremova, 25, Dnipro, Ukraine, 49000, e-mail: koshulko.v.s@dsau.dp.ua, https://orcid.org/0000-0002-0744-6318).

Elchyn ALIIEV – Doctor of Technical Sciences, Senior Researcher, Professor of the Department of Technical Systems Engineering of Dnipro State Agrarian and Economic University (St. S. Efremova, 25, Dnipro, Ukraine, 49000, e-mail: aliev@meta.ua, https://orcid.org/0000-0003-4006-8803).

Oleksandr KOBETS – Candidate of Technical Sciences, Associate Professor, Associate Professor of the Department of Tractors and Agricultural Machinery of Dnipro State Agrarian and Economic University (St. S. Efremova, 25, Dnipro, Ukraine, 49000, e-mail: kobets.o.m@dsau.dp.ua, https://orcid.org/0009-0009-5334-0133).

Vitalii IVLIEV – Candidate of Technical Sciences, Associate Professor, Associate Professor of the Department of Technical Systems Engineering of Dnipro State Agrarian and Economic University (St. S. Efremova, 25, Dnipro, Ukraine, 49000, e-mail: ivliev.v.v@dsau.dp.ua, https://orcid.org/0000-0002-4878-4794).

The relevance of using paddy machines in the groat industry is significant due to the growing demand for high-quality groats and the need for precise and efficient grain processing. Paddy machines are capable of processing a variety of raw materials, including oats, buckwheat, and rice, expanding the capabilities of enterprises. However, there is a lack of developed engineering calculation methods for these machines, and the analysis of the sorting process is crucial for determining the optimal parameters for machine operation.
This study focuses on the development of a mathematical model for the separation of oat dehulling products in a vibro-impact separator. The model incorporates theoretical principles, such as the interaction of grain particles with the sorting table and channel surfaces, to evaluate the movement of the grain during different stages of the sorting process. The research explores factors such as the table's inclination angle, oscillation amplitude, and friction forces, which influence the sorting efficiency.
Numerical calculations reveal that, during the table's acceleration phase, unhulled grain remains stationary due to the zero initial velocities, while transverse oscillations of the table help displace the mixture, pushing lighter and larger unde-husked grains to the surface. The results indicate that optimizing the table's parameters, such as its tilt angle, oscillation amplitude, and friction coefficient, is essential for improving sorting efficiency and machine productivity.
In conclusion, the developed mathematical model enables the determination of optimal parameters for effective oat grain separation, offering valuable insights for enhancing the sorting process and achieving high productivity in the groat industry. Further research may focus on fine-tuning operating conditions to further optimize separator performance.  

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