Özgür Uğraş Baran

E-mail

ubaran@metu.edu.tr

Department

Department of Mechanical Engineering

ORCID

0000-0002-8437-7862

Scopus Author ID

36741975400

Web of Science Researcher ID

ABA-4110-2020

Towards Accurate Vortex Separation Simulations with RANS Using Improved k-kL Turbulence Model Dikbaş, Erdem; Baran, Özgür Uğraş (2023-04-01) In this study, we present our improved RANS results of the missile aerodynamic flow computation involving leading edge vortex separation. We have used our in-house tailored version of the open source finite volume solver F...
Chapter 9 ‒ PREDICTIONS OF VORTEX INTERACTIONS FOR LK6E2 – PART II Schnepf, Christian; DeSpirito, James; Anderson, Michael; Dikbaş, Erdem; Loupy, Gaetan; Baran, Özgür Uğraş (NATO-AVT, 2023-01-01)
Chapter 7- THE INFLUENCE OF MODELLING IN PREDICTIONS OF VORTEX INTERACTIONS Shaw, Scott; Anderson, Michael; Barakos, George; Baran, Özgür Uğraş; Boychev, Kiril; Dikbaş, Erdem; DeSpirito, James; Loupy, Gaetan; Schnepf, Christian; Tormalm, Magnus (NATO-AVT, 2023-01-01)
Assessment and comparison of the gamma and bc transition Models for external flows Karabay, Sami; Baran, Özgür Uğraş (2023-01-01) Modelling of transition from the laminar to turbulent flow became a hot topic due to recent developments in renewable energy, UAV technologies and similar aerospace applications. The transition from laminar flow to turbule...
Extension Of The Multall Open Source Throughflow Code For The Improved Endwall Loss Simulation Bilgiç, Mustafa; Baran, Özgür Uğraş; Aksel, Mehmet Haluk (2023-01-01) Accurate loss modeling is critical for throughflow calculations to capture correct streamtube geometry and the accurate spanwise distribution of flow properties during quasi three-dimensional design of a turbomachinery bla...
IMPLEMENTATION, VERIFICATION AND ASSESSMENT OF VORTEX CAPTURING CAPABILITIES OF k-kL TURBULENCE MODEL Baran, Özgür Uğraş (2022-04-01) This study presents the first results of a new turbulence model implementation in our compressible finite volume CFD solver. The k - kL turbulence model is one of the newest two-equation models, and it is based on the idea...
A deep learning approach for the transonic flow field predictions around airfoils Duru, Cihat; Alemdar, Hande; Baran, Özgür Uğraş (2022-01-01) Learning from data offers new opportunities for developing computational methods in research fields, such as fluid dynamics, which constantly accumulate a large amount of data. This study presents a deep learning approach ...
The Influence of the Computational Mesh on the Prediction of Vortex Interactions about a Generic Missile Airframe Dikbaş, Erdem; Schnepf, Christian; Tormalm, Magnus; Anderson, Michael; Shaw, Scott; DeSpirito, James; Loupy, Gaetan; Barakos, George; Boychev, Kiril; Toomer, Chris; Baran, Özgür Uğraş (2021-12-29)
An Automated Modeling And Meshing Tool For Helicopter Rotor Design Uzun, Halit Eldem; Yutük, Kaan; Baran, Özgür Uğraş; Madayen, Ali (2021-12-29)
Nonlinear Vibrations of Rotor-Bearing Systems Supported by Squeeze Film Dampers Due to Unbalance Excitation Sevencan, Furkan; Ciğeroğlu, Ender; Baran, Özgür Uğraş (2021-11-01) In this paper, nonlinear dynamic behaviors of a multi-mass flexible rotor-bearing system supported by short length Squeeze Film Damper (SFD) due to the unbalance excitation are presented. The rotordynamic model of the syst...

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