FLOW, Engineering Mechanics, KTH Royal Institute of Technology
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Enabling adaptive mesh refinement for spectral-element simulations of turbulence around wing sections
Á Tanarro, F Mallor, N Offermans, A Peplinski, R Vinuesa, P Schlatter
Flow, Turbulence and Combustion 105, 415-436, 2020
Wall-mounted perforated cubes in a boundary layer: Local heat transfer enhancement and control
F Mallor, CS Vila, A Ianiro, S Discetti
International Journal of Heat and Mass Transfer 117, 498-507, 2018
Modal decomposition of flow fields and convective heat transfer maps: An application to wall-proximity square ribs
F Mallor, M Raiola, CS Vila, R Örlü, S Discetti, A Ianiro
Experimental Thermal and Fluid Science 102, 517-527, 2019
The sustainable development goals and aerospace engineering: a critical note through artificial intelligence
A Sánchez-Roncero, Ò Garibo-i-Orts, JA Conejero, H Eivazi, F Mallor, ...
Results in Engineering 17, 100940, 2023
Sentiment analysis on Twitter data towards climate action
E Rosenberg, C Tarazona, F Mallor, H Eivazi, D Pastor-Escuredo, ...
Results in Engineering 19, 101287, 2023
In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst
M Atzori, W Köpp, SWD Chien, D Massaro, F Mallor, A Peplinski, ...
The Journal of Supercomputing 78 (3), 3605-3620, 2022
The potential of artificial intelligence for achieving healthy and sustainable societies
B Sirmaçek, S Gupta, F Mallor, H Azizpour, Y Ban, H Eivazi, H Fang, ...
The ethics of artificial intelligence for the sustainable development goals …, 2023
A new perspective on skin-friction contributions in adverse-pressure-gradient turbulent boundary layers
M Atzori, F Mallor, R Pozuelo, K Fukagata, R Vinuesa, P Schlatter
International Journal of Heat and Fluid Flow 101, 109117, 2023
Enabling high-fidelity measurements of turbulent boundary layer flow over wing sections in the MTL wind tunnel.
F Mallor
RANS modelling of a NACA4412 wake using wind tunnel measurements
N Tabatabaei, M Hajipour, F Mallor, R Örlü, R Vinuesa, P Schlatter
Fluids 7 (5), 153, 2022
Using adaptive mesh refinement to simulate turbulent wings at high Reynolds numbers
A Tanarro, F Mallor, N Offermans, A Peplinski, R Vinuesa, P Schlatter
11th International Symposium on Turbulence and Shear Flow Phenomena, TSFP …, 2019
In-Situ Analysis of Backflow Events and Their Relation to Separation in Wings Through Well-Resolved LES
F Mallor, J Liu, A Peplinski, R Vinuesa, R Örlü, T Weinkauf, P Schlatter
ERCOFTAC Workshop Direct and Large Eddy Simulation, 17-22, 2023
Autonomous driving: present and emerging trends of technology, ethics, and law
G Lindberg, I Carrero, F Mallor, J Estévez, M Battaglini, R Vinuesa
Handbook on Artificial Intelligence and Transport, 596-616, 2023
Bayesian optimization of wall-normal blowing and suction-based flow control of a NACA 4412 wing profile
F Mallor, G Semprini-Cesari, T Mukha, S Rezaeiravesh, P Schlatter
Flow, Turbulence and Combustion, 1-26, 2023
Design considerations for the flow conditions around a wing model inside a wind tunnel
F Mallor, E Dogan, M Atzori, A Parikh, R Vinuesa, R Örlü, P Schlatter
Svenska Mekanikdagar, KTH. Svenska Mekanikdagar, KTH, 2019
Modal analysis of instantaneous flow fields and convective heat transfer in a boundary layer downstream of square ribs
F Mallor, M Raiola, C Sanmiguel Vila, R Örlü, S Discetti, A Ianiro
Proceedings 18th International Symposium on Flow Visualization, 2018
Spatial averaging effects in adverse pressure gradient turbulent boundary layers
F Mallor, R Örlü, P Schlatter
Tracking backflow events and flow separation in wings
F Mallor, J Liu, M Atzori, A Peplinski, T Weinkauf, P Schlatter
High-fidelity simulations of the flow around a NACA 4412 wing section at high angles of attack
F Mallor, R Vinuesa, R Örlü, P Schlatter
Wings, turbulent boundary layers and flow separation
F Mallor
KTH Royal Institute of Technology, 2024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20