Prediction of temperature field distribution in a gas turbine using a higher order neural network
This paper presents the prediction of temperature field distribution in a single annular section using an artificial neural network (ANN). This temperature distribution is non-uniform on the outer tube due to continuous natural convection and radiation caused by the homogeneous steady-state heating...
Main Authors: | Jan Pařez, Patrik Kovář, Adam Tater |
---|---|
Format: | Article |
Language: | English |
Published: |
CTU Central Library
2023-12-01
|
Series: | Acta Polytechnica |
Subjects: | |
Online Access: | https://ojs.cvut.cz/ojs/index.php/ap/article/view/9354 |
Similar Items
-
Influence of Spanwise and Streamwise Film Hole Spacing on Adiabatic Film Effectiveness for Effusion-Cooled Gas Turbine Blades
by: Matthew Courtis, et al.
Published: (2021-08-01) -
Numerical Simulation of Temperature Distribution in the Gas Turbine Blade
by: Dariusz Jakubek
Published: (2021-07-01) -
Asymmetric Method of Heat Transfer Intensification in Radial Channels of Gas Turbine Blades
by: Sergey Osipov, et al.
Published: (2022-12-01) -
Numerical Study Of Heat Transfer In Cooling Passages Of Turbine Blade
by: Ahmed F. Khudheyer, et al.
Published: (2023-05-01) -
Study of a Gas Turbine Cycle to Boost the Autonomy of Electric Cars
by: Joelle Najib, et al.
Published: (2022-05-01)