Aerodynamic optimization of turbomachinery cascades using Euler/boundary-layer coupled genetic algorithms

Date

2002-05-01

Author

Oksuz, O
Akmandor, IS
Kavsaoglu, MS

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

271
views

0
downloads

A new methodology is developed to find the optimal aerodynamic performance of a turbine cascade. A boundary-layer coupled Euler algorithm and a genetic algorithm are linked within an automated optimization loop. The multiparameter objective function is based on the blade loading. For a given inlet Mach number and baseline cascade geometry, the flow inlet and exit angles, the blade thickness and the solidity are optimized by a robust genetic algorithm. First, the Sanz subcritical turbine cascade is selected as the baseline cascade and is used for How solver validation. Second, the baseline cascade parameters are modified to yield the maximum tangential blade force. Finally, the effects of different crossover techniques, random number seeds, and population sizes on the performance of the genetic algorithm are studied. It is shown that the maximum blade loading is achieved for a higher flow turning, a wider pitch, and a thicker cascade.

Subject Keywords

Fuel Technology, Mechanical Engineering, Space and Planetary Science, Aerospace Engineering

URI

https://hdl.handle.net/11511/66546

Journal

JOURNAL OF PROPULSION AND POWER

DOI

https://doi.org/10.2514/2.5979

Collections

Department of Aerospace Engineering, Article

Suggestions

OpenMETU
Core

Aerodynamic design and optimization of horizontal axis wind turbines by using bem theory and genetic algorithm Ceyhan, Özlem; Tuncer, İsmail Hakkı; Department of Aerospace Engineering (2008) An aerodynamic design and optimization tool for wind turbines is developed by using both Blade Element Momentum (BEM) Theory and Genetic Algorithm. Turbine blades are optimized for the maximum power production for a given wind speed, a rotational speed, a number of blades and a blade radius. The optimization variables are taken as a fixed number of sectional airfoil profiles, chord lengths, and twist angles along the blade span. The airfoil profiles and their aerodynamic data are taken from an airfoil datab...
Simulated annealing for missile optimization: Developing method and formulation techniques Tekinalp, Ozan (American Institute of Aeronautics and Astronautics (AIAA), 2004-07-01) Hide-and-seek is a continuous simulated annealing algorithm that uses an adaptive cooling schedule. A number of improvements are proposed for the global optimum estimation required for the cooling schedule. To handle equality constraints, two approaches are examined: the rejection method and augmentation of constraints to cost using penalty coefficients. It is demonstrated that a faster convergence is possible if, in the penalty coefficients approach, equality constraints are replaced with tight inequality ...
Non-parametric regional VTEC modeling with Multivariate Adaptive Regression B-Splines Durmaz, Murat; Karslıoğlu, Mahmut Onur (Elsevier BV, 2011-11-01) In this work Multivariate Adaptive Regression B-Splines (BMARS) is applied to regional spatio-temporal mapping of the Vertical Total Electron Content (VTEC) using ground based Global Positioning System (GPS) observations. BMARS is a non-parametric regression technique that utilizes compactly supported tensor product B-splines as basis functions, which are automatically obtained from the observations. The algorithm uses a scale-by-scale model building strategy that searches for B-splines at each scale fittin...
Near-surface topology of unmanned combat air vehicle planform: Reynolds number dependence Elkhoury, M; Yavuz, Mehmet Metin; Rockwell, D (American Institute of Aeronautics and Astronautics (AIAA), 2005-09-01) The Reynolds number dependence of the near-surface flow structure and topology on a representative unmanned combat air vehicle planform is characterized using a technique of high-image-density particle image velocimetry, to complement classical dye visualization. Patterns of streamline topology, including bifurcation lines, as well as contours of streamwise and transverse velocity, surface-normal vorticity, and Reynolds stress correlation, all immediately adjacent to the surface of the planform, provide qua...
Aerodynamic shape optimization of wind turbine blades using a parallel genetic algorithm Polat, Ozge; Tuncer, İsmail Hakkı (2013-12-31) An aerodynamic shape optimization methodology based on Genetic Algorithm and Blade Element Momentum theory is developed for rotor blades of horizontal axis wind turbines Optimization studies are performed for the maximization of power production at a specific wind speed, rotor speed and rotor diameter. The potential flow solver with a boundary layer model, XFOIL, provides sectional aerodynamic loads. The sectional chord length, the sectional twist and the blade profiles at root, mid and tip regions of the b...

Citation Formats

O. Oksuz, I. Akmandor, and M. Kavsaoglu, “Aerodynamic optimization of turbomachinery cascades using Euler/boundary-layer coupled genetic algorithms,” JOURNAL OF PROPULSION AND POWER, pp. 652–657, 2002, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66546.