Computational investigation of the flow inside a Tesla turbine rotor
| Autor: | Lorenzo Ciappi, Daniele Fiaschi, Pouriya H. Niknam, Lorenzo Talluri |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
020209 energy 02 engineering and technology Computational fluid dynamics Turbine Industrial and Manufacturing Engineering law.invention 020401 chemical engineering law 0202 electrical engineering electronic engineering information engineering Fluid dynamics Performance prediction 0204 chemical engineering Electrical and Electronic Engineering Civil and Structural Engineering business.industry Rotor (electric) Turbulence Mechanical Engineering Laminar flow Building and Construction Mechanics Pollution General Energy Tesla turbine business |
| Zdroj: | Energy. 173:207-217 |
| ISSN: | 0360-5442 |
| DOI: | 10.1016/j.energy.2019.01.158 |
| Popis: | Tesla expander is a bladeless turbine suited to low power range applications. In this article, a comparison between the performance prediction, as well as the assessment of the main flow characteristics, of a Tesla turbine working with organic fluids obtained through an in-house 2D code developed in EES environment and a simulation run with a computational fluid dynamics commercial software was done. Three working fluids (R404a, R134a and R245fa) were analysed in order to determine the related performance parameters. Various computations were carried out at several speeds of revolution, both with the laminar model and the Langtry-Menter transitional shear stress transport model for turbulence processing. High rotor efficiency was predicted for a small-scale prototype working with all analysed fluids (69% at 3000 rpm). The results obtained by the CFD simulations and by the in-house code showed an excellent matching. Finally, absolute and relative flow path lines were computed in order to determine fluid dynamics inside the channel and to analyse the fundamental flow phenomena. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect