# Transonic turbomachinery blade design using optimization

1997-01-01
© 1997, American Institute of Aeronautics and Astronautics, Inc.An aerodynamic design method is presented that couples flow analysis and numerical optimization to improve the aerodynamic performance of a turbomachinery blade subject to specified design objectives and constraints. The flow field prediction is based on the Euler equations in order to represent the nonlinear rotational physics of transonic flows. The sensitivity analysis that measures the response of the flow with respect to a geometry perturbation is calculated by finite differencing. A special care is given to improve the accuracy of sensitivity derivatives in terms of truncation and condition errors. Numerical optimization can find a better design even with strict design constraints imposed. The method is demonstrated with several examples.

# Suggestions

 TRANSONIC AIRFOIL DESIGN BY CONSTRAINED OPTIMIZATION LEE, KD; Eyi, Sinan (1993-11-01) AN aerodynamic design method is developed which couples flow analysis and numerical optimization to find an airfoil shape with improved aerodynamic performance. The flow analysis code is based on the coupled Euler and boundary-layer equations in order to include the rotational, viscous physics of transonic flows. The numerical optimization process searches for the best feasible design for the specified design objective and design constraints. The method is demonstrated with several examples at transonic flo...
 Transonic airfoil design by constrained optimization Lee, K.D.; Eyi, Sinan (1991-01-01) An aerodynamic design method is developed which couples flow analysis and numerical optimization to find an airfoil shape with improved aerodynamic performance. The flow analysis code is based on the coupled Euler and boundary layer equations in order to include the rotational, viscous physics of transonic flows. The numerical optimization process searches for the best feasible design for the specified design objective and design constraints. The method is demonstrated with several examples at transonic flo...
 Structural optimization of a triner aircraft wing by using genetic algorithm Çakır, Mustafa Kağan; Söylemez, Eres; Department of Mechanical Engineering (2008) In this study, a design procedure incorporating a genetic algorithm (GA) is developed for optimization of the wing structure of a two seated trainer aircraft with single turboprop engine. The objective function considered is the total weight of the structure. The objective function is minimized subjected to certain strength requirements. In order to evaluate the design constraints and model the wing structure, finite element analysis is performed by using a conventional finite element solver (i.e. MSC/NASTR...
 Discrete Adjoint-Based Aerodynamic Shape Optimization Framework for Natural Laminar Flows Kaya, Halil; Tuncer, İsmail Hakkı (2022-01-01) Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.An adjoint-based aerodynamic shape optimization framework for natural laminar flows is developed. The laminar to turbulent-transition onset is predicted by the correlation-based Bas–Cakmakcioglu transition model that is coupled with the Spalart–Allmaras turbulence model. A discrete adjoint implementation is subsequently developed. Automatic differentiation is utilized to construct the partial derivatives in the discre...
 Vision-aided landing for fixed wing unmanned aerial vehicle Esin, Engin; Kutay, Ali Türker; Department of Aerospace Engineering (2016) The aim of this thesis is to design an autoland system for fixed wing unmanned aerial vehicle (UAV) to make auto landing by using position information calculated by image processing algorithms. With this ability, even if GPS is not available to be used, UAV still could make a safe automatic landing. Landing autopilot is aimed to keep UAV on a straight line with a constant flight path angle. Therefore, landing autopilot and computer vision methods are studied within the scope of this thesis. Also, to test de...
Citation Formats
S. Eyi, “Transonic turbomachinery blade design using optimization,” 1997, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84983212260&origin=inward.