Substantiation of the main design parameters of the separation chamber of the pneumatic separator using various methods for calculating particle trajectories in the pneumoseparating channel

The article presents a study of the influence of methods for calculating particle trajectories in the pneumatic separation channel (PSC) on the design parameters of the separation chamber (length and height of the exit window), completed in 2013-2021. The field of air flow velocities and trajectories of spring wheat seed material components in the separation chamber of fractioning pneumatic seed separator was constructed. The initial data for the calculation were the information obtained earlier when calculating the trajectories of particles in the PSC by various methods. The location at the outlet of the channel, the value and direction of the particle velocity vectors were determined by computer modelling using the Solidworks Flow Simulation software package and two experimental and theoretical methods. They took into account the real velocity field of the air flow with and without grain load. The obtained values of the design parameters are compared with the results of experimental studies of the separation chamber. It should be noted that the methods of calculating the trajectories of grain impurity particles have a significant impact on the length of the separation chamber and the height of the exit window. The maximum length of the separation chamber of 0.75 m will be required for computer modelling of the velocity field in the PSC. Much smaller values of 0.50 m and 0.45 m will be required when calculating the trajectories of particles in the PSC using the velocity field obtained by experimental and theoretical methods. During the experimental study of the separation chamber during the cleaning of wheat seeds, the optimal length of the separation chamber was determined to be 0.55 m with an exit window height of 0.30 m. Thus, the values of the design parameters of the separation chamber obtained by experimental and theoretical methods are the closest to experimental data, which makes it possible to recommend them for use at the design stage of pneumatic separators.

1. Piven V. V. Determination of the Extent of Fraction in Air Separation of Grain Material. IOP Conf. Series: Journal of Physics: Conf. Series. 2018;1059:012001. DOI: https://doi.org/10.1088/1742-6596/1059/1/012001

2. Badretdinov I., Mudarisov S., Tuktarov M., Dick E., Arslanbekova S. Mathematical modeling of the grain material separation in the pneumatic system of the grain-cleaning machine. Journal of Applied Engineering Science. 2019;17(4):529-534. DOI: https://doi.org/10.5937/jaes17-22640

3. Butovchenko A. V., Doroshenko A. A., Savchenko A. A., Shubin A. I. Using the "FLOWVISION" software package to determine the characteristics of the air flow in the pneumatic channel. The state and prospects for the development of agricultural engineering: Proceedings of the 7th International Scientific and Practical Conference within the framework of the 17th International Scientific and Practical Conference. agro-industrial exhibition "Interagromash-2014". Rostov n/D: Donskoy GTU, 2014. pp. 52-54.

4. Mudarisov S. G., Badretdinov I. D. Optimization of the parameters of the pneumatic system of the grain cleaning machine. Mekhanizatsiya i elektrifikatsiya sel'skogo khozyaystva. 2011;(1):6-7. (In Russ.).

5. Sane S., Bujack R., Garth C., Childs H. A survey of seed placement and streamline selection techniques. Computer Graphics Forum. 2020;39(3):785-809. DOI: https://doi.org/10.1111/cgf.14036

6. Panasiewicz M., Mazur J., Zawi´slak K., Kulig R., Łysiak G. The Process of Separation of Husked Soybean in Oblique Airflow. Department of Food Engineering and Machines, University of Life Sciences in Lublin. 2020;12(18):7566. DOI: https://doi.org/10.3390/su12187566

7. Xinping L., Jialiang Z., Jiangtao J. Analysis of Airflow Velocity Field Characteristics of an Oat Cleaner Based on Particle Image Velocimetry Technology Applied Engineering in Agriculture. 2019;35(2):193-201. DOI: https://doi.org/10.13031/aea.12999

8. Lizhang X., Yang L., Xiaoyu C., Guimin W. Numerical simulation of gas-solid two-phase flow to predict the cleaning performance of rice combine harvesters. Biosystems Engineering. 2020;190(4):11-24. DOI: https://doi.org/10.1016/j.biosystemseng.2019.11.014

9. Gieyvskiy A. M. Reduction of energy consumption for the operation of a two-air pneumatic system. Mekhanizatsiya i elektrifikatsiya sel'skogo khozyaystva. 2016;(1):2-4. (In Russ.).

10. Giyevskiy A. M., Orobinsky V. I., Tarasenko A. P., Chernyshov A. V., Kurilov D. O. Substantiation of basic scheme of grain cleaning machine for preparation of agricultural crops seeds IOP Conf. Series: Materials Science and Engineering. 2018;327:042035. DOI: https://doi.org/10.1088/1757-899X/327/4/042035

11. Burkov A. I., Glushkov A. L., Lazykin V. A. An improved experimental-theoretical method for calculating the particle trajectory in a pneumatic separating channel. Agrarnaya nauka Evro-Severo-Vostoka = Agricultural Science Euro-North-East. 2018;(3(64)):87-92. (In Russ.). DOI: https://doi.org/10.30766/2072-9081.2018.64.3.87-92

12. Burkov A. I., Glushkov A. L., Lazykin V. A. Calculation of particle trajectories in the pneumatic separation channel using various methods. Agrarnaya nauka Evro-Severo-Vostoka = Agricultural Science Euro-North-East. 2020;21(1):62-70. (In Russ.). DOI: https://doi.org/10.30766/2072-9081.2020.21.1.62-70

13. Burkov A. I., Batalova G. A., Glushkov A. L., Lazykin V. A. Preparation of high quality seeds using a pneumatic separator. Agrarnayanauka Evro-Severo-Vostoka = Agricultural Science Euro-North-East. 2017;(2(57)):72-76. (In Russ.). DOI: https://doi.org/10.30766/2072-9081.2017.57.2.72-76

14. Lazykin V., Burkov A., Glushkov A., Mokiev V. Defining key design parameters for separation chamber of fractioning pneumatic seed separator. Engineering for Rural Development. 2021;20:181-186. DOI: https://doi.org/10.22616/ERDev.2021.20.TF037

15. Zhukovetskaya S. Air flowing spatial modeling and simulation with Solidworks CAD. Zeszyty Naukowe Wydziału Elektroniki i Informatyki. 2018;13:79-87. URL: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-0e92a018-6f21-48cf-ae47-cf138a92f844

16. Jiang H., Lu L., Sun K. Computational fluid dynamics (CFD) modeling of particle deposition in a twodimensional turbulent channel air flow: study of influence factors: Indoor Built Environ 2012;21(2):264-272. DOI: https://doi.org/10.1177/1420326X11414939