Zobrazeno 1 - 10
of 515
pro vyhledávání: '"Li, Haiwang"'
Publikováno v:
International Journal of Heat and Mass Transfer. Volume 193, 1 September 2022, 122966Volume 193, 1 September 2022, 122966
Mist/air two-phase flow is a promising cooling technique for many applications such as internal cooling of gas turbine blades. A significant enhancement of heat transfer can be achieved with a low mass fraction of droplets by utilizing the latent hea
Externí odkaz:
http://arxiv.org/abs/2407.05130
In high-speed rotating channels, significant compressive effects are observed, resulting in distinct flow characteristics compared to incompressible flows. In this study, we employed a finite volume method based on the simple algorithm to solve for l
Externí odkaz:
http://arxiv.org/abs/2308.08225
In order to solve the problem of the difficult direct measurement of temperature field in fluid machinery under high-speed compressible conditions, this study combines high-order finite difference numerical format, Weighted Essentially Non-Oscillator
Externí odkaz:
http://arxiv.org/abs/2307.15877
In the study of rotating channel flow, the key dimensionless parameters typically include the Reynolds number, rotation number, Prandtl number and buoyancy number. Our research focused on comparing the flow characteristics between the enlarged model,
Externí odkaz:
http://arxiv.org/abs/2305.17908
This paper describes an experimental investigation, by means of hot-wire anemometry, of the characteristics of velocity and temperature in a rotating turbulent boundary layer under isothermal and non-isothermal conditions. The ranges of experimental
Externí odkaz:
http://arxiv.org/abs/2206.01929
Publikováno v:
In Energy 15 September 2024 303
Publikováno v:
In International Communications in Heat and Mass Transfer September 2024 157
Publikováno v:
In International Journal of Heat and Mass Transfer January 2025 236 Part 2
This paper proposes a phenomenological Reynolds Averaged Navier-Stokes (RANS) calculation model based on physical constraints. In this model part of the source terms in the e equation was replaced with the deep learning model, using the standard k-e
Externí odkaz:
http://arxiv.org/abs/2112.13380
Publikováno v:
In Applied Thermal Engineering 15 December 2024 257 Part C