Automatic Transition Prediction for High-Lift Systems Using a Hybrid Flow Solver

2005 ◽  
Vol 42 (5) ◽  
pp. 1362-1366 ◽  
Author(s):  
Andreas Krumbein
Keyword(s):  
High Lift ◽  
Flow Solver ◽  
Transition Prediction

Transition Prediction on the Slat of a High-Lift System

2004 ◽  
Vol 41 (6) ◽  
pp. 1384-1392 ◽  
Author(s):  
M. R. Malik ◽  
R.-S. Lin
Keyword(s):  
High Lift ◽  
Transition Prediction

Evaluation of Computations and Transition Prediction Method for Aircraft High-Lift Configuration

2009 ◽  
Vol 46 (5) ◽  
pp. 1487-1499 ◽  
Author(s):  
Mitsuhiro Murayama ◽  
Yuzuru Yokokawa ◽  
Kazuomi Yamamoto ◽  
Yoshine Ueda
Keyword(s):  
Prediction Method ◽  
High Lift ◽  
Transition Prediction

Application of Nonaxisymmetric Endwall Contouring to Conventional and High-Lift Turbine Airfoils

2013 ◽  
Vol 135 (6) ◽  
Author(s):  
T. J. Praisner ◽  
E. Allen-Bradley ◽  
E. A. Grover ◽  
D. C. Knezevici ◽  
S. A. Sjolander
Keyword(s):  
Design Methodology ◽  
Three Dimensional ◽  
Low Pressure ◽  
Free Form ◽  
Published Data ◽  
High Lift ◽  
Flow Solver ◽  
Low Pressure Turbine ◽  
Gradient Based ◽  
Endwall Contouring

Here, we report on the application of nonaxisymmetric endwall contouring to mitigate the endwall losses of one conventional and two high-lift low-pressure turbine airfoil designs. The design methodology presented combines a gradient-based optimization algorithm with a three-dimensional computational fluid dynamics (CFD) flow solver to systematically vary a free-form parameterization of the endwall. The ability of the CFD solver employed in this work to predict endwall loss modifications resulting from nonaxisymmetric contouring is demonstrated with previously published data. Based on the validated trend accuracy of the solver for predicting the effects of endwall contouring, the magnitude of predicted viscous losses forms the objective function for the endwall design methodology. This system has subsequently been employed to optimize contours for the conventional-lift Pack B and high-lift Pack D-F and Pack D-A low-pressure turbine airfoil designs. Comparisons between the predicted and measured loss benefits associated with the contouring for Pack D-F design are shown to be in reasonable agreement. Additionally, the predictions and data demonstrate that the Pack D-F endwall contour is effective at reducing losses primarily associated with the passage vortex. However, some deficiencies in predictive capabilities demonstrated here highlight the need for a better understanding of the physics of endwall loss-generation and improved predictive capabilities.

Transition Prediction and Impact on 3D High-Lift Wing Configuration

2007 ◽  
Author(s):  
Frederic Moens ◽  
Jean Perraud ◽  
Andreas Krumbein ◽  
Thomas Toulorge ◽  
Pierluigi Ianelli ◽  
...  
Keyword(s):  
High Lift ◽  
Transition Prediction

Evolutionary Computing Applied to Design Optimization

2007 ◽  
Author(s):  
Osama A. Marzouk
Keyword(s):  
Fitness Function ◽  
Lift Coefficient ◽  
Evolutionary Computing ◽  
Airfoil Surface ◽  
High Lift ◽  
Flow Solver ◽  
Theory Of Evolution ◽  
Special Procedure ◽  
Subsonic Regime ◽  
And Mathematics

Inspired by Darwin’s theory of evolution, the genetic algorithm (GA) method is part of evolutionary computing. It is a search technique used to find solutions and optimize them. This method has found application in different fields, such as computer science, engineering, chemistry, economics, physics, and mathematics. In the present study, GA is used to optimize airfoil geometry for high lift in the low-speed subsonic regime. The variable to be optimized is the set of coordinates of several points along the airfoil surface, which constructs its geometry. We seek a geometrical design that maximizes the fitness function (also called objective function), which is chosen to be the lift coefficient. The process is done in successive cycles, until a satisfactory design is achieved. At the end of each cycle, a group (or a generation) of candidate designs, is generated using stochastic searching. The method involves binary encoding-decoding and mutating as well. An aerodynamic flow solver is augmented in the GA procedure; it evaluates the fitness function at each cycle. A special procedure in evaluating the fitness function is used so that impractical geometrical designs are eliminated automatically.

Transition prediction of high-lift wing

2012 ◽  
Vol 42 (3) ◽  
pp. 271-281
Author(s):  
LiangHua XIAO ◽  
ZhiXiang XIAO ◽  
LiSha WANG ◽  
Song FU ◽  
HongGang ZENG ◽  
...  
Keyword(s):  
High Lift ◽  
Transition Prediction

Transition Prediction and Impact on a Three-Dimensional High-Lift-Wing Configuration

2008 ◽  
Vol 45 (5) ◽  
pp. 1751-1766 ◽  
Author(s):  
Frédéric Moens ◽  
Jean Perraud ◽  
Andreas Krumbein ◽  
Thomas Toulorge ◽  
Pierluigi Iannelli ◽  
...  
Keyword(s):  
Three Dimensional ◽  
High Lift ◽  
Transition Prediction
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