Tracking the Fuel Trajectory from Each Injector for Fuel–Air Mixing in Supersonic Flows

Qiongyao Qin (), Yanhan Yang, Yidong Liu, Mingze Yuan and Jianzhong Li ()
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Qiongyao Qin: College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Yanhan Yang: College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Yidong Liu: College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Mingze Yuan: College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Jianzhong Li: College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Energies, 2025, vol. 18, issue 17, 1-10

Abstract: Fuel injection and mixing remain a critical challenge in the development of supersonic propulsion systems. The efficiency of both mixing and combustion significantly influences the overall performance of these systems, underscoring the importance of optimizing fuel injection strategies. Injector arrays are extensively employed in such propulsion systems; however, conventional design methodologies predominantly focus on global mixing efficiency, neglecting injector-specific performance metrics. This research introduces a fuel trajectory tracing methodology, wherein hydrogen from each injector is treated as a distinct species, despite having identical physical and chemical properties. This approach enables the tracking of hydrogen transport and mixing within supersonic flows. The methodology has been demonstrated to accurately capture the mass fraction distribution of hydrogen from individual injectors without perturbing the flow field. Based on these distributions, injector-specific mixing and combustion efficiencies can be quantified, providing valuable insights for optimizing injector configurations and enhancing propulsion system performance.

Keywords: hydrogen injection; transport; tracing method; supersonic flow; scramjet (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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