Author: Th. E. Labrujère
Publisher:
ISBN:
Category :
Languages : en
Pages : 8
Book Description
Multi-element Airfoil Design by Optimization
Design and Optimization Method for Multi-element Airfoils
Optimization of Multi-Element Airfoils
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 75
Book Description
A review of techniques aimed at maximizing C1/Cd and C1 for multi- element airfoils showed the need for more exhaustive testing of possible configurations of flap deflection, slot geometry and airfoil angle of attack. For a typical 4-element airfoil, the number of possible configurations can easily be in the billions. A new technique, based on evolution strategy, has been developed for the problem of optimizing a multi-element airfoil with respect to its envelope of maximum C1/Cd versus C1. This technique was applied to an airfoil having a slotted leading edge flap and a double-slotted trailing edge flap using an existing computer program for 2D subsonic multi-element airfoils to provide values of aerodynamic coefficients. Although limitations of the program precluded the full determination of the envelope of C1/Cd vs C1 the problem of maximizing C1/Cd for a minimum C1 constraint was solved. The result of testing approximately 400 configurations generated by the random mutation- natural selection procedure of evolution strategy was an 8-fold increase in C1/ Cd iwth a 12% increase in C1 over the initial geometry.
Publisher:
ISBN:
Category :
Languages : en
Pages : 75
Book Description
A review of techniques aimed at maximizing C1/Cd and C1 for multi- element airfoils showed the need for more exhaustive testing of possible configurations of flap deflection, slot geometry and airfoil angle of attack. For a typical 4-element airfoil, the number of possible configurations can easily be in the billions. A new technique, based on evolution strategy, has been developed for the problem of optimizing a multi-element airfoil with respect to its envelope of maximum C1/Cd versus C1. This technique was applied to an airfoil having a slotted leading edge flap and a double-slotted trailing edge flap using an existing computer program for 2D subsonic multi-element airfoils to provide values of aerodynamic coefficients. Although limitations of the program precluded the full determination of the envelope of C1/Cd vs C1 the problem of maximizing C1/Cd for a minimum C1 constraint was solved. The result of testing approximately 400 configurations generated by the random mutation- natural selection procedure of evolution strategy was an 8-fold increase in C1/ Cd iwth a 12% increase in C1 over the initial geometry.
Multi-element Airfoil Optimization for Maximum Lift at High Reynolds Numbers
Multi-element Airfoil Optimization Using Computational Fluid Dynamics
Author: Mustafa Kubilay Ictuzer
Publisher:
ISBN:
Category : Aerofoils
Languages : en
Pages : 118
Book Description
Publisher:
ISBN:
Category : Aerofoils
Languages : en
Pages : 118
Book Description
Experimental Optimization Methods for Multi-element Airfoils
Multi Element Airfoil Design
Parameter Optimization Research on Lift-enhancing of Multi-element Airfoil Using Air-blowing
Optimization of an Advanced Design Three-element Airfoil at High Reynolds Numbers ... Nasa-tm-112019 ... Nasa
Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design
Author: Jacques Periaux
Publisher: Springer
ISBN: 9401795207
Category : Technology & Engineering
Languages : en
Pages : 323
Book Description
Many complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies. This book describes the role of advanced innovative evolution tools in the solution, or the set of solutions of single or multi disciplinary optimization. These tools use the concept of multi-population, asynchronous parallelization and hierarchical topology which allows different models including precise, intermediate and approximate models with each node belonging to the different hierarchical layer handled by a different Evolutionary Algorithm. The efficiency of evolutionary algorithms for both single and multi-objective optimization problems are significantly improved by the coupling of EAs with games and in particular by a new dynamic methodology named “Hybridized Nash-Pareto games”. Multi objective Optimization techniques and robust design problems taking into account uncertainties are introduced and explained in detail. Several applications dealing with civil aircraft and UAV, UCAV systems are implemented numerically and discussed. Applications of increasing optimization complexity are presented as well as two hands-on test cases problems. These examples focus on aeronautical applications and will be useful to the practitioner in the laboratory or in industrial design environments. The evolutionary methods coupled with games presented in this volume can be applied to other areas including surface and marine transport, structures, biomedical engineering, renewable energy and environmental problems. This book will be of interest to students, young scientists and engineers involved in the field of multi physics optimization.
Publisher: Springer
ISBN: 9401795207
Category : Technology & Engineering
Languages : en
Pages : 323
Book Description
Many complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies. This book describes the role of advanced innovative evolution tools in the solution, or the set of solutions of single or multi disciplinary optimization. These tools use the concept of multi-population, asynchronous parallelization and hierarchical topology which allows different models including precise, intermediate and approximate models with each node belonging to the different hierarchical layer handled by a different Evolutionary Algorithm. The efficiency of evolutionary algorithms for both single and multi-objective optimization problems are significantly improved by the coupling of EAs with games and in particular by a new dynamic methodology named “Hybridized Nash-Pareto games”. Multi objective Optimization techniques and robust design problems taking into account uncertainties are introduced and explained in detail. Several applications dealing with civil aircraft and UAV, UCAV systems are implemented numerically and discussed. Applications of increasing optimization complexity are presented as well as two hands-on test cases problems. These examples focus on aeronautical applications and will be useful to the practitioner in the laboratory or in industrial design environments. The evolutionary methods coupled with games presented in this volume can be applied to other areas including surface and marine transport, structures, biomedical engineering, renewable energy and environmental problems. This book will be of interest to students, young scientists and engineers involved in the field of multi physics optimization.