Design Optimization of Transonic Compressor Rotor Using CFD and Genetic Algorithm

2006 ◽  
Author(s):  
Weilin Yi ◽  
Hongyan Huang ◽  
Wanjin Han
Keyword(s):  
Genetic Algorithm ◽  
Design Optimization ◽  
Response Surface ◽  
Optimization Design ◽  
Optimization Problems ◽  
Response Surface Model ◽  
Navier Stokes ◽  
Surface Model ◽  
3 Dimensional ◽  
Transonic Compressor

The paper describes a new optimization strategy for computationally expensive design optimization problems of turbomachinery, combined with design of experiment (DOE), response surface models (RSM), genetic algorithm (GA) and a 3-D Navier-Stokes solver. Data points for response evaluations were selected by Latin hypercube design (LHD) and 3-dimensional Navier-Stokes analysis was carried out at these sample points. The quadratic response surface model was used to approximate the relationships between the design variables and flow parameters. The genetic algorithm was applied to the response surface model to perform global optimization to obtain the optimum design. The above method was applied to the optimization design of NASA rotor37. The object was to maximize the adiabatic efficiency. An optimum leading edge line was found which produced a new 3-dimensional blade combined with sweep and composite bowing. As a result of this optimization, the adiabatic efficiency was successfully increased by 1.58%. It was found that the strategy of this paper provides a reliable design optimization method for turbomachinery blades at reasonable computing cost.

Multi-Objective Aerodynamic Design Optimization Based on Camber Line and Thickness Distribution for a Transonic Compressor Rotor

2008 ◽  
Author(s):  
Xiangfeng Wang ◽  
Songtao Wang ◽  
Wanjin Han
Keyword(s):  
Genetic Algorithm ◽  
Design Optimization ◽  
Response Surface ◽  
Total Pressure ◽  
Optimization Problems ◽  
Thickness Distribution ◽  
Response Surface Model ◽  
Navier Stokes ◽  
Surface Model ◽  
Multi Objective

The paper describes a new optimization system for computationally expensive design optimization problems of turbomachinery, combined with design of experiment (DOE), response surface models (RSM), multi-objective genetic algorithm (MOGA) and a 3-D Navier-Stokes solver. A flow field solver code was developed based on three dimensional Navier-Stokes equations and validated by comparing computation results with experimental data. The improved non-dominated sorting genetic algorithm (NSGA-II) was used to solve the multi-objective problems. A constraint handling method without penalty function used to treat constrained optimization problems was improved and applied to constrained multi-objective problems. Data points for response evaluations were selected by the improved-hypercube sampling (IHS) algorithm and 3-D Navier-Stokes analysis was carried out at these sample points. The quadratic response surface model was used to approximate the relationships between the design variables and flow parameters. The genetic algorithm was applied to the response surface model to perform global optimization and obtain the optimum design. The above optimization method was applied to aerodynamic redesign of NASA Rotor37 with camber line and thickness distribution, the objects were to maximize the total pressure ratio and the adiabatic efficiency. Results showed the adiabatic efficiency improved by 0.7% and the total pressure by 0.66%. The multi-objective optimization design method is feasible.

Approximated Unimodal Region Elimination Based Global Optimization Method for Engineering Design

2007 ◽  
Author(s):  
Adel Younis ◽  
Ruoning Xu ◽  
Zuomin Dong
Keyword(s):  
Global Optimization ◽  
Design Optimization ◽  
Response Surface ◽  
Computer Analysis ◽  
Optimization Problems ◽  
Response Surface Model ◽  
Design Experiment ◽  
Surface Model ◽  
Experiment Data ◽  
Computation Efficiency

Computer analysis and simulation based design optimization requires more computationally efficient global optimization tools. In this work, a new global optimization algorithm based on design experiments, region elimination and response surface model, namely Approximated Unimodal Region Elimination Method (AUREM), is introduced. The approach divides the field of interest into several unimodal regions using design experiment data; identify and rank the regions that most likely contain the global minimum; form a response surface model with additional design experiment data over the most promising region; identify its minimum, remove this processed region, and move to the next most promising region. By avoiding redundant searches, the approach identifies the global optimum with reduced number of objective function evaluations and computation effort. The new algorithm was tested using a variety of benchmark global optimization problems and compared with several widely used global optimization algorithms. The experiments results present comparable search accuracy and superior computation efficiency, making the new algorithm an ideal tool for computer analysis and simulation black-box based global design optimization.

Optimization Design of Pressure Shell in Underwater Vehicle Based on Response Surface Model

2009 ◽  
Vol 419-420 ◽  
pp. 89-92
Author(s):  
Zhuo Yi Yang ◽  
Yong Jie Pang ◽  
Zai Bai Qin
Keyword(s):  
Finite Element ◽  
Response Surface ◽  
Optimization Design ◽  
Engineering Application ◽  
Element Model ◽  
Response Surface Model ◽  
Design Stage ◽  
Surface Model ◽  
Design Variables ◽  
Structure Strength

Cylinder shell stiffened by rings is used commonly in submersibles, and structure strength should be verified in the initial design stage considering the thickness of the shell, the number of rings, the shape of ring section and so on. Based on the statistical techniques, a strategy for optimization design of pressure hull is proposed in this paper. Its central idea is that: firstly the design variables are chosen by referring criterion for structure strength, then the samples for analysis are created in the design space; secondly finite element models corresponding to the samples are built and analyzed; thirdly the approximations of these analysis are constructed using these samples and responses obtained by finite element model; finally optimization design result is obtained using response surface model. The result shows that this method that can improve the efficiency and achieve optimal intention has valuable reference information for engineering application.

Aerodynamic Design Optimization of an Axial Flow Compressor Rotor

2002 ◽  
Author(s):  
Chan-Sol Ahn ◽  
Kwang-Yong Kim
Keyword(s):  
Design Optimization ◽  
Response Surface ◽  
Computing Time ◽  
Flow Analysis ◽  
Three Dimensional ◽  
Axial Flow ◽  
Navier Stokes ◽  
Transonic Compressor ◽  
Compressor Rotor ◽  
Design Variables

Design optimization of a transonic compressor rotor (NASA rotor 37) using the response surface method and three-dimensional Navier-Stokes analysis has been carried out in this work. The Baldwin-Lomax turbulence model was used in the flow analysis. Three design variables were selected to optimize the stacking line of the blade. Data points for response evaluations were selected by D-optimal design, and linear programming method was used for the optimization on the response surface. As a main result of the optimization, adiabatic efficiency was successfully improved. It was found that the optimization process provides reliable design of a turbomachinery blade with reasonable computing time.

Structural Optimization of Alloy Wheel Rim using Design of Experiments

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
M.N. Ahmad ◽  
T. Sivanesan ◽  
A.S Mahmud
Keyword(s):  
Design Of Experiments ◽  
Response Surface ◽  
Optimization Design ◽  
Response Surface Model ◽  
Surface Model ◽  
Baseline Design ◽  
Alloy Wheel ◽  
Hot Weather ◽  
Static Conditions ◽  
Transient Thermal

Automobile wheel is a key component of the automobile. The optimization design for aluminium alloy wheel was implemented using Design of Experiments (DOE) in this paper. On wheel, the parameters affecting the overall efficiency such as strength, stiffness and weight are selected, and simulation experiments are completed using Minitab software according to the Box-Behnken Design. The response surface model is obtained from the Response Surface Method (RSM) and then static analysis was done by using ANSYS for each design with different combination of parameters produced by response surface model. As a result, the optimal parameters of the wheel are determined by finding the minimum value of the response model. A shape of an optimized wheel is determined by the response surface model and validity is confirmed by analysing and comparing the characteristic of wheel with the baseline design. Lastly, transient thermal analysis of the optimized alloy wheel is aimed at evaluating the performance of alloy wheel of a car under static conditions specifically in hot weather

Sign in / Sign up

Export Citation Format

Share Document