Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Wen, Haocheng"'
This study presents a novel approach for quantificationally reconstructing density fields from shadowgraph images using physics-informed neural networks
Externí odkaz:
http://arxiv.org/abs/2410.20203
Autor:
Wen, Haocheng, Wang, Bing
The study presents a new type of detonation engine called the Ram-Rotor Detonation Engine (RRDE), which overcomes some of the drawbacks of conventional detonation engines such as pulsed detonation engines, oblique detonation engines, and rotating det
Externí odkaz:
http://arxiv.org/abs/2311.01088
Accurate perception of the combustor thermal environment is crucial for thermal protection design of a rotating detonation combustor (RDC). In this study, a comprehensive analysis method is established to calculate the non-uniform heat flux distribut
Externí odkaz:
http://arxiv.org/abs/2306.01390
Autor:
Wen, Haocheng, Wang, Bing
For the clarification of total pressure gain performance of rotating detonation propulsion systems, the extended Hugoniot curve is proposed and discussed for the stable flow systems with variable cross-section area (SFSVA). The dimensionless pressure
Externí odkaz:
http://arxiv.org/abs/2204.09196
Publikováno v:
In Combustion and Flame November 2024 269
Autor:
WEN, Haocheng, WANG, Bing
Publikováno v:
In Chinese Journal of Aeronautics November 2024 37(11):66-80
Publikováno v:
In Aerospace Science and Technology October 2024 153
A numerical study is carried out on the droplet-laden two-phase rotating detonation wave (RDW) of kerosene/oxygen-enriched air at normal temperature. Two types of combustors without and with the inlet mixing section (IMS) are constructed to illustrat
Externí odkaz:
http://arxiv.org/abs/2203.10288
Publikováno v:
In Aerospace Science and Technology April 2024 147
Publikováno v:
In Experimental Thermal and Fluid Science March 2024 152