Aerodynamic shape optimization of BWB aircraft based on multizone collaborative optimization design method

2015 ◽  
Author(s):  
Zheng Hong Gao ◽  
Ke Zhao ◽  
Chao Wang
Keyword(s):  
Shape Optimization ◽  
Optimization Design ◽  
Design Method ◽  
Collaborative Optimization ◽  
Aerodynamic Shape Optimization ◽  
Aerodynamic Shape

Aerodynamic Optimization Design of Airfoil Based on Directly Manipulated FFD Technique

2013 ◽  
Vol 390 ◽  
pp. 121-128 ◽  
Author(s):  
Jun Qiang Bai ◽  
Song Chen
Keyword(s):  
Shape Optimization ◽  
Drag Reduction ◽  
Optimization Design ◽  
High Order ◽  
Control Points ◽  
Aerodynamic Shape Optimization ◽  
Aerodynamic Optimization ◽  
Aerodynamic Shape ◽  
Design Variables ◽  
Geometrical Constraints

The method of applying direct manipulated FFD (DFFD) technique into aerodynamic shape optimization has been proposed and researched. Due to the disadvantage of the original FFD method within which the geometrical manipulation is not direct and intuitive, the DFFD approach has been developed by solving each displacement of the FFD control points with some specified geometry points movements, so that the deformation of the target geometry could be directly manipulated. Besides, it has been illustrated that by DFFD method a relatively small number of design variables together with high order FFD control frame could be accomplished. The study cases has shown that applying this method in aerodynamic shape optimization of airfoil for drag reduction is of good feasibility and result, and could be coupled with effective geometrical constraints like airfoil thickness.

Aerodynamic Shape Optimization Design of the Swept Wing Based on the Kriging Surrogate Model

2013 ◽  
Vol 444-445 ◽  
pp. 1277-1282
Author(s):  
Dan Wang ◽  
Jun Qiang Bai ◽  
Jun Hua ◽  
Zhi Wei Sun ◽  
Lei Qiao
Keyword(s):  
Shape Optimization ◽  
Surrogate Model ◽  
Optimization Design ◽  
Cfd Simulation ◽  
Free Form ◽  
Design System ◽  
Aerodynamic Shape Optimization ◽  
Swept Wing ◽  
Aerodynamic Shape ◽  
Optimization Search

The aerodynamic shape optimization design system was established in this paper. In the system, the RANS equation was used for solving the flowing; the free form deformation (FFD) method was used for the geometry parameterization, and the genetic algorithm was used for the optimization search. For the reducing of the time cost, the Kriging model was used for the surrogate model instead of the CFD simulation during the optimization design. The aerodynamic shape design of a swept wing was presented which used the system, and the result indicated that the 14% drag coefficient was reduced at the cruise conditions, which proved the validity of the system.

Study on Global Aerodynamic Shape Optimization of Transonic Compressor Blade

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Yanhui Duan ◽  
Zhaolin Fan ◽  
Wenhua Wu ◽  
Ti Chen
Keyword(s):  
Shape Optimization ◽  
Optimization Design ◽  
Fluid Dynamic ◽  
Thickness Distribution ◽  
Pressure Ratio ◽  
Compressor Blade ◽  
Aerodynamic Shape Optimization ◽  
Aerodynamic Shape ◽  
Transonic Compressor ◽  
Total Pressure Ratio

AbstractIn this paper, global optimization design of a transonic compressor 3D blade (Rotor 37) has been carried out by a self-developed aerodynamic shape optimization (ASO) platform based on improved parallel synchronous particle swarm optimization (PSPSO). To improve the performance of PSPSO, coefficient of variation (COV) based attenuation method with new parameters is proposed and then validated by optimization tests. Flow field of blade is calculated by an in-house computational fluid dynamic (CFD) code called PMB3D-Turbo, which is validated by Rotor 37. Choosing Rotor 37 as the case, optimization object is to maximize the peak adiabatic efficiency, meanwhile constraining mass flow and total pressure ratio. The solutions show that, the ASO platform is effective to transonic compressor blade and variations of thickness distribution near the trailing edge can help improve the adiabatic efficiency of a transonic compressor blade.

Aerodynamic Shape Optimization and Knowledge Mining of Centrifugal Fans Using Simulated Annealing Coupled With a Neural Network

2006 ◽  
Author(s):  
Kazuyuki Sugimura
Keyword(s):  
Neural Network ◽  
Simulated Annealing ◽  
Shape Optimization ◽  
Leading Edge ◽  
Optimization Method ◽  
Collaborative Optimization ◽  
Design Parameters ◽  
Centrifugal Impeller ◽  
Aerodynamic Shape Optimization ◽  
Aerodynamic Shape

An aerodynamic shape optimization method suitable for “inexpensive” centrifugal impellers and diffusers has been developed. The shapes are parameterized using non-uniform rational B-spline curves with special attention being paid to the blade’s edge profiles. A hybrid algorithm combining simulated annealing and a neural network is employed for collaborative optimization. The simulated annealing and neural network take turns in controlling the optimization processes, not only for maximizing the efficiency of global exploration, but also for minimizing the risks of automation failures or of reaching an incorrect optimum. A statistical analysis was also conducted using the neural network to extract design knowledge. By applying the proposed method to a centrifugal impeller and diffuser design problem, we obtained innovative shapes for the leading edge of the impeller and the trailing edge of the diffuser. Important design parameters related to the new shapes were identified through the design space analysis.

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