Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
 
Machine Learning Methods in CFD for Turbomachinery: A Review
by James Hammond, Nick Pepper, Francesco Montomoli and Vittorio Michelassi
 
A Low Order Flow Network Model for Double-Wall Effusion Cooling Systems
by Michael van de Noort and Peter Ireland
 
UHBR Open-Test-Case Fan ECL5/CATANA
by Valdo Pagès, Pierre Duquesne, Stéphane Aubert, Laurent Blanc, Pascal Ferrand, Xavier Ottavy and Christoph Brandstetter
 
Modelling the Condensation Phenomena within the Radial Turbine of a Fuel Cell Turbocharger
by Tim Wittmann, Sebastian Lück, Christoph Bode and Jens Friedrichs
 
Design and Parametric Analysis of a Supersonic Turbine for Rotating Detonation Engine Applications
by Noraiz Mushtaq, Gabriele Colella and Paolo Gaetani
 
A Machine Learning Approach to Improve Turbulence Modelling from DNS Data Using Neural Networks
by Yuri Frey Marioni, Enrique Alvarez de Toledo Ortiz, Andrea Cassinelli, Francesco Montomoli, Paolo Adami and Raul Vazquez
 
Influence of Spanwise and Streamwise Film Hole Spacing on Adiabatic Film Effectiveness for Effusion-Cooled Gas Turbine Blades
by Matthew Courtis, Alexander Murray, Ben Coulton, Peter Ireland and Ignacio Mayo
 
Experiments of Transpiration Cooling Inspired Panel Cooling on a Turbine Blade Yielding Film Effectiveness Levels over 95%
by Augustin Wambersie, Holt Wong, Peter Ireland and Ignacio Mayo
 
The Aero-Thermal Performance of Purge Flow and Discrete Holes Film Cooling of Rotor Blade Platform in Modern High Pressure Gas Turbines: A Review
by Giovanna Barigozzi, Hamed Abdeh, Samaneh Rouina and Nicoletta Franchina
 
Experimental Study on Flow Behavior of Unshrouded Impeller Centrifugal Pumps under Inlet Air Entrainment Condition
by Minquan Liao, Qiaorui Si, Meng Fan, Peng Wang, Zhonghai Liu, Shouqi Yuan, Qianglei Cui and Gérard Bois
Views Article
Machine Learning Methods in CFD for Turbomachinery: A Review
by James Hammond, Nick Pepper, Francesco Montomoli and Vittorio Michelassi
Loss Characterization of a Conventional Variable Inlet Guide Vane
by Roman G. Frank, Christian Wacker and Reinhard Niehuis
Optimization of Turbine Blade Aerodynamic Designs Using CFD and Neural Network Models
by Chao Zhang and Matthew Janeway
Advanced Gas Turbine Cooling for the Carbon-Neutral Era
by Kenichiro Takeishi and Robert Krewinkel
Modelling the Condensation Phenomena within the Radial Turbine of a Fuel Cell Turbocharger
by Tim Wittmann, Sebastian Lück, Christoph Bode and Jens Friedrichs
Influence of the Rotor-Driven Perturbation on the Stator-Exit Flow within a High-Pressure Gas Turbine Stage
by Paolo Gaetani and Giacomo Persico
Axial Impeller-Only Fans with Optimal Hub-to-Tip Ratio and Blades Adapted for Minimum Exit Loss
by Thomas Carolus and Konrad Bamberger
A Machine Learning Approach to Improve Turbulence Modelling from DNS Data Using Neural Networks
by Yuri Frey Marioni, Enrique Alvarez de Toledo Ortiz, Andrea Cassinelli, Francesco Montomoli, Paolo Adami and Raul Vazquez
Influence of Spanwise and Streamwise Film Hole Spacing on Adiabatic Film Effectiveness for Effusion-Cooled Gas Turbine Blades
by Matthew Courtis, Alexander Murray, Ben Coulton, Peter Ireland and Ignacio Mayo
Flow and Ingestion in a Turbine Disc Cavity under Rotationally-Dominated Conditions
by Anna Bru Revert, Paul F. Beard and John W. Chew
Downloads Article
Machine Learning Methods in CFD for Turbomachinery: A Review
by James Hammond, Nick Pepper, Francesco Montomoli and Vittorio Michelassi
Optimization of Turbine Blade Aerodynamic Designs Using CFD and Neural Network Models
by Chao Zhang and Matthew Janeway
Experiments of Transpiration Cooling Inspired Panel Cooling on a Turbine Blade Yielding Film Effectiveness Levels over 95%
by Augustin Wambersie, Holt Wong, Peter Ireland and Ignacio Mayo
Analysis of a Linear Model for Non-Synchronous Vibrations Near Stall
by Christoph Brandstetter and Sina Stapelfeldt
Design and Parametric Analysis of a Supersonic Turbine for Rotating Detonation Engine Applications
by Noraiz Mushtaq, Gabriele Colella and Paolo Gaetani
Modelling the Condensation Phenomena within the Radial Turbine of a Fuel Cell Turbocharger
by Tim Wittmann, Sebastian Lück, Christoph Bode and Jens Friedrichs
A Machine Learning Approach to Improve Turbulence Modelling from DNS Data Using Neural Networks
by Yuri Frey Marioni, Enrique Alvarez de Toledo Ortiz, Andrea Cassinelli, Francesco Montomoli, Paolo Adami and Raul Vazquez
Loss Characterization of a Conventional Variable Inlet Guide Vane
by Roman G. Frank, Christian Wacker and Reinhard Niehuis
The High-Speed Cascade Wind Tunnel at the Bundeswehr University Munich after a Major Revision and Upgrade
by Reinhard Niehuis and Martin Bitter
Numerical Steady and Transient Evaluation of a Confined Swirl Stabilized Burner
by Federica Farisco, Luisa Castellanos, Jakob Woisetschläger and Wolfgang Sanz
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