Oeksuz, Oezhan
Akmandor, Ibrahim Sinan
In this paper, a new multiploid genetic optimization method handling surrogate models of the CID solutions is presented and applied for multi objective turbine blade aerodynamic optimization problem. A fast, efficient, robust, and automated design method is developed to aerodynamically optimize 3D gas turbine blades. The design objectives are selected as maximizing the adiabatic efficiency and torque so as to reduce the weight, size and cost of the gas turbine engine. A 3-Dimensional steady Reynolds Averaged Navier Stokes solver is coupled with an automated unstructured grid generation tool. The solver is verified using two well known test cases. Blade geometry is modeled by 36 design variables plus the number of blades variable in a row. Fine and coarse grid solutions are respected as high and low fidelity models, respectively. One of the test cases is selected as the baseline and is modified by the design process. It was found that the multiploid multi-objective genetic algorithm successfully accelerates the optimization, and prevents converging to local optimums.
53rd ASME Turbo Expo 2008


Direct Calculation of Entropy Generation by Solving Reynolds-Averaged Entropy Transport Equation in an Air-Cooled Turbine Cascade
Orhan, Omer Emre; Uzol, Oğuz (2012-06-15)
This paper presents an implementation of directly solving Reynolds-Averaged Entropy Transport equation as a part of the CFD solution to predict entropy generation rates in a two-dimensional turbine blade stator section. The Reynolds Averaged Entropy Transport and the necessary modeling. equations are implemented to a commercial CFD solver as a User Defined Scalar (UDS). The results are compared with those obtained by post-processing the temperature and velocity fields obtained by solving full Navier-Stokes ...
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Computational Design of Optical Couplers for Bended Nanowire Transmission Lines
Tuncyurek, Yunus Emre; Karaosmanoglu, Bariscan; Ergül, Özgür Salih (2017-07-01)
We present computational analysis, optimization, and design of optical couplers that can be useful to improve the transmission along bended nanowires. After demonstrating the deteriorated energy transmission due to sharp bends, which lead to out-of-phase nanowires and diffraction, we use a rigorous simulation environment to design efficient couplers made of spherical particles. For this purpose, an optimization module based on genetic algorithms is combined with the multilevel fast multipole algorithm, lead...
Convergence acceleration based on convergence error estimation
Eyi, Sinan (2013-01-01)
New methods are developed for convergence error estimation and convergence acceleration in iteratively solved problems. The convergence error estimation method is based on the eigenvalue analysis of linear systems, but it can also be used for nonlinear systems. Newton's method is used to estimate the magnitude and the phase angle of eigenvalues. The convergence of iterative method is accelerated by subtracting convergence error from the iteratively calculated solutions. The performances of these methods are...
Parallel Computation of 3-D Viscous Flows on Hybrid Grids
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In this study, a newly developed parallel finite-volume solver for 3-D viscous flows on hybrid grids is presented. The boundary layers in wall bounded viscous flows are discretized with hexahedral cells for improved accuracy and efficiency, while the rest of the domain is discretized by tetrahedral and pyramidal cells. The computations are performed in parallel in a computer cluster. The parallel solution algorithm with hybrid grids is based on domain decomposition which is obtained using the graph partitio...
Citation Formats
O. Oeksuz and I. S. Akmandor, “MULTI-OBJECTIVE AERODYNAMIC OPTIMIZATION OF AXIAL TURBINE BLADES USING A NOVEL MULTI-LEVEL GENETIC ALGORITHM,” Berlin, Germany, 2008, p. 2375, Accessed: 00, 2020. [Online]. Available: