Estimation of Discretization Uncertainty Using the γ - Re<sub>θ</sub> Transition Model for Transitional Flows on 6:1 Spheroid

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2022

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Asme

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Aerospace Engineering
(2020)
Turkey has made a significant progress in terms of aerospace and defense industries. The Atılım University Department of Aerospace Engineering opens to students in the Academic Year of 2020-2021, with the aim to train qualified engineers as required in the ever-developing aerospace industry. This department is a field of engineering that focuses on the R&D, design, manufacturing, testing and performance processes of aircraft such as planes, choppers, or rockets; as well as satellites, and other kinds of spacecraft. Located in Ankara where much of the work related to the aerospace studies takes place, our School is to offer common projects and long-term opportunities for internship studies with many companies in the industry. Our academic staff involves faculty members who are experienced in teaching aerospace engineering, as well as experts in the field after having worked in many projects in the defense industry, in addition to offering consulting. Backed with our state-of-the-art laboratories, our curriculum is to offer students a chance to acquire the skills and know-hows to advance Turkey in the sector. We aim to implement a hands-on approach in education by training our students with our aircraft in our hangar at Esenboğa Airport. We aim to provide them with a practical training, and a constant opportunity to touch, feel, and experience the aircraft, from the first year. Our focus is to have students experience the process of R&D, from the designing stage to prototype manufacturing. Our course content, devised to match the current needs of the sector, shall make it possible for our students to find employment in their fields of competence and interest.

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This paper aims to estimate the surface mesh size related discretization uncertainties using the gamma-Re-theta transition model combined with the shear stress transport (SST) k-omega turbulence model. For comparison, this work employs an available experimental study performed with a 6:1 prolate spheroid. The grid convergence index (GCI) study is performed for axial force, surface skin friction, and pressure coefficients with three levels of meshes. The transition model estimates the axial force coefficients (CX), approximately half of which are obtained using fully turbulent calculations with higher GCI values. The GCI values around the axial force coefficients for the level-2 mesh are less than 1% based on fully turbulent calculations. However, with the transition model, these values for the same mesh level increase to 10%. While the GCI values of surface pressure coefficients are very small based on both fully turbulent and transition model calculations, these coefficients show differences at the trailing part of the spheroid. Significant differences are also observed in the surface friction coefficients. While the model captures drastic changes in terms of transition in the surface friction coefficients at the suction side of the spheroid, such drastic change is not observed in fully turbulent calculations. On the other hand, there is no sign of any transition phenomenon at the pressure side, contrary to the observations of experimental measurements. The transition model is not able to estimate the transition front geometry correctly. The GCI values of the surface friction coefficients increase dramatically, up to 765% around the transition regions.

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atik, hediye/0000-0002-5858-9132

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Q3

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Volume

144

Issue

11

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