Comparative Study on the Application Efficacy of Small Disturbance Equation versus One-Dimensional Euler Equation in Nozzle Flow Analysis

Authors

  • Changxin Sun

DOI:

https://doi.org/10.61173/x1bztk63

Keywords:

Nozzle flow, Small Disturbance Equation, Subsonic Flow, Supersonic Flow

Abstract

This paper presents a numerical simulation study of subsonic and supersonic nozzle flow regimes utilizing the Small Disturbance Equation (SDE), implemented through Python to analyze flow stability under various boundary conditions. The SDE, extensively applied in aerospace, meteorology, and fluid mechanics, offers a critical framework for examining aircraft stability and maneuverability, essential for ensuring flight safety. Additionally, its application extends to spacecraft stability and control in aerospace science. The findings from this study reveal that subsonic flows, characterized by their stability and smoothness, respond more predictably under varying boundary conditions compared to their supersonic counterparts. Conversely, supersonic flows demonstrate increased sensitivity to changes in boundary conditions, resulting in more complex flow patterns. This sensitivity underscores the need for precise control mechanisms in supersonic applications to maintain flow stability and ensure the safety and efficiency of aerospace operations. The simulations underscore the practical importance of the SDE in advancing the understanding of dynamic flow problems across different scientific and engineering disciplines.

References

[1] Shan S., Chen W., Chen Z. A survey of application and development of small disturbance equation method in the aviation area. Journal of Physics: Conference Series, 2021, 2012(1): 012025.

[2] Gao Y. Investigating the Integro-Differential Scheme Performance in Solving Euler Equations. North Carolina Fig. 4 Supersonic Boundary 2 (Photo credit: Agricultural and Technical State University, 2019. Original).

[3] De Bartolo C., Nigro A., Covello V., Bassi F. Assessment of

[3] 3 Comparative Results and Analysis a high-order discontinuous Galerkin method for internal flow Subsonic Flow: The results for subsonic flow indicate problems. Part I: Benchmark results for quasi-1D, 2D waves stable, smooth flow with slight variations depending on propagation and axisymmetric turbulent flows. Computers & boundary conditions. This aligns with the expected behav- Fluids, 2016, 134: 61-80. ior for flows with a Mach number less than 1. [4] Restrepo J., Simões-Moreira J. R. Viscous effects on real Supersonic Flow: The supersonic flow results highlight gases in quasi-one-dimensional supersonic convergent divergent the complexity and sensitivity of such flows to boundary nozzle flows. Journal of Fluid Mechanics, 2022, 951: A14. conditions, with evident shock formations and significant [5] Stanescu D. Comparison of several numerical methods for variations in the flow field. solving the Euler equations for compressible aerodynamic flows, 1994.

[4] Conclusion [6] Wang R., Zhu J., Wang S., Wang T., Huang J., Zhu X. Multi- This study has successfully employed the Small Distur- modal emotion recognition using tensor decomposition fusion and self-supervised multi-tasking. International Journal of Dean&Francis Multimedia Information Retrieval, 2024, 13(4): 39.. [9] Varatharajulu Purgunan G. R., Asli M., Nacci T., Misul D.

[7] Ferguson F., Feng D., DodooAmoo D., Mendez J. C., Gao A., Salvadori S., Stathopoulos P. Film Cooling Modeling in a Y. Investigating the Computational Errors of Integral Schemes Turbine Working under the Unsteady Exhaust Flow of Pulsed Through the Use of Numerical Experiments. AIAA Scitech 2019 Detonation Combustion. Energies, 2024, 17(6): 1312. Forum, 2019: 2176. [10] Yang X., Li F., Liu X., Sun M., Yang Y., Wang Y., et al.

[8] Chan J., Shukla K., Wu X., Liu R., Nalluri P. High An alternative two-way coupled Euler-Lagrange scheme to order entropy stable schemes for the quasi-one-dimensional model the performance of finite-size particle in supersonic flow. shallow water and compressible Euler equations. Journal of International Journal of Multiphase Flow, 2024, 170: 104647. Computational Physics, 2024, 504: 112876.

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Published

2024-10-29