Abstract
The total pressure gain (PG) performance of quasi-2D rotating detonation engines (RDEs) is numerically investigated to address the critical gap in quantifying the effects of back-propagating pressure suppression. In this study, a quasi-2D RDE model with an expansion ratio Ae is developed by adopting a quasi-1D assumption to simplify radial features. An abstract check valve model is further established to simulate various flow channel configurations, with the suppression capability parameterized by a tunable backflow check strength αb. By systematically evaluating the flow field under varying Ae and αb, this study reveals the constraints between them; specifically, achieving positive PG demands an expansion ratio of Ae<3.336, which can only be sustained without inlet blocking when αb>51.1. Furthermore, a specific shock structure, termed the cut-off normal shock wave, is identified as the dominant aerodynamic mechanism responsible for total pressure loss. Finally, a general PG criterion based on the equivalent inlet Mach number is derived. Under baseline operating parameters, this criterion indicates that positive PG is achieved within a Mach number range of 0.177 to 2.749. Further parametric analyses demonstrate that stoichiometric hydrogen/air mixtures and a lower inlet total temperature facilitate the achievement of positive PG. This study provides theoretical guidance for enhancing PG in RDEs.
| Original language | English |
|---|---|
| Article number | 131404 |
| Journal | Applied Thermal Engineering |
| Volume | 300 |
| DOIs | |
| Publication status | Published - Jul 2026 |
| Externally published | Yes |
Keywords
- Back-propagating pressure suppression
- Check valve model
- Rotating detonation engines
- Thermodynamic modeling
- Total pressure gain
Fingerprint
Dive into the research topics of 'On the role of back-propagating pressure suppression in enhancing the pressure-gain performance of quasi-2D rotating detonation engines'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver