Analyzing the Dynamics and Friction Forces on Spheres in Fluid Flows: Applications Across Engineering and Sports Science

Ming Zhang

doi:10.54097/4n9pxn27

Authors

Ming Zhang

DOI:

https://doi.org/10.54097/4n9pxn27

Keywords:

Fluid dynamics, Drag coefficient, Reynolds number, Computational Fluid Dynamics (CFD).

Abstract

This study explores the dynamics and friction forces of spherical objects in fluid flows, emphasizing their applications across engineering and sports science. By examining key theoretical concepts such as drag coefficient, Reynolds number, and fluid dynamics equations, the research highlights how these principles influence the motion of spheres in various fluid environments. The analysis encompasses computational fluid dynamics (CFD) and experimental approaches, addressing applications in ocean, aerospace, and vehicle engineering, as well as sports science. The findings demonstrate the critical role of understanding drag and friction characteristics in optimizing designs, improving performance, and driving technological innovation. Challenges such as multi-scale phenomena, nonlinear dynamics, and measurement techniques are identified, suggesting future research directions to refine theoretical models and enhance practical applications. The study not only advances the theoretical understanding of fluid dynamics but also provides essential insights for engineering optimization and sports performance enhancement.

Downloads

Download data is not yet available.

References

[1] Cena C., Guizado L. F. S., Ferreira J. V. B. Determination of skin friction on a rotating sphere in magnetic levitation. Revista Brasileira de Ensino de Física, 2024, 46(Suppl. 1): e20230351. https://doi.org/10. 1590/1806-9126-RBEF-2023-0351.

[2] Liu Q., Liu Q., Bai P., Li F. Aerodynamic characteristics of airfoil and evolution of laminar separation at different Reynolds numbers. Acta Aeronautica et Astronautica Sinica, 2017, 38 (4): 120338. https://doi. org/10.7527/S1000-6893.2016.0257.

[3] Zhang Y., Xu H., Zhu X. Detection and quantization technique of optical distributed acoustic coupling based on φ-OTDR. J. Shanghai Jiaotong Univ. (Sci.), 2020, 25: 208–213.

[4] Zeno A., Darwish M., Alee A., Awad A. An experimental study of drag coefficient for smooth thin circular plates with central hole. International Journal of GEOMATE, 2021, 20 (77): 149-154. https://doi. org/10.21660/2020.77.76739.

[5] Zhu X., Zhang Y., Zhao Z., Zuo J. Radio frequency sensing based environmental monitoring technology. In Fourth International Workshop on Pattern Recognition, 2019, Vol. 11198: 187-191. SPIE.

[6] Amin A., Girolami L., Risso F. Fall of a large sphere in a suspension of small fluidized particles. Physical Review Fluids, 2022, 7(8): L082301. https://doi.org/10.1103/ PhysRevFluids.7.L082301.

[7] Zhang Y., Zhao H., Zhu X., Zhao Z., Zuo J. Strain measurement quantization technology based on DAS system. In 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), 2019, 214-218. IEEE.

[8] Denham C. L., Patil M., Roy C. J., Alexandrov N. Framework for estimating performance and associated uncertainty for modified aircraft configurations. Aerospace, 2022, 9: 490. https://doi.org/10.3390/ aerospace9090490.

[9] Obligado M., Bourgoin M. Dynamics of towed particles in a turbulent flow. Journal of Fluids and Structures, 2022, 114: 103704. https://doi.org/10.1016/j.jfluidstructs.2022.103704.

[10] Ge W., Wang L., Xu J., Chen F., Zhou G., Lu L., Li J. Discrete simulation of granular and particle-fluid flows: from fundamental study to engineering application. Reviews in Chemical Engineering, 2017, 33 (6): 551-623.