[go: up one dir, main page]

Mengistu et al., 2008 - Google Patents

Aerodynamic optimization of turbomachinery blades using evolutionary methods and ANN-based surrogate models

Mengistu et al., 2008

View PDF
Document ID
429712594312225827
Author
Mengistu T
Ghaly W
Publication year
Publication venue
Optimization and Engineering

External Links

Snippet

A fast, flexible, and robust simulation-based optimization scheme using an ANN-surrogate model was developed, implemented, and validated. The optimization method uses Genetic Algorithm (GA), which is coupled with an Artificial Neural Network (ANN) that uses a back …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • G06F17/5018Computer-aided design using simulation using finite difference methods or finite element methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • G06F17/504Formal methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5086Mechanical design, e.g. parametric or variational design
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5045Circuit design
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00Indexing scheme relating to computer aided design [CAD]
    • G06F2217/16Numerical modeling
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00Indexing scheme relating to computer aided design [CAD]
    • G06F2217/08Multi-objective optimization
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00Indexing scheme relating to computer aided design [CAD]
    • G06F2217/78Power analysis and optimization
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00Indexing scheme relating to computer aided design [CAD]
    • G06F2217/41Molding
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"

Similar Documents

Publication Publication Date Title
Mengistu et al. Aerodynamic optimization of turbomachinery blades using evolutionary methods and ANN-based surrogate models
Verstraete CADO: a computer aided design and optimization tool for turbomachinery applications
Siller et al. Automated multidisciplinary optimization of a transonic axial compressor
US7191161B1 (en) Method for constructing composite response surfaces by combining neural networks with polynominal interpolation or estimation techniques
Papila et al. Shape optimization of supersonic turbines using response surface and neural network methods
Samad et al. Shape optimization of an axial compressor blade by multi-objective genetic algorithm
US6606612B1 (en) Method for constructing composite response surfaces by combining neural networks with other interpolation or estimation techniques
Venturelli et al. Kriging-assisted design optimization of S-shape supersonic compressor cascades
Kipouros et al. Biobjective design optimization for axial compressors using tabu search
Khalfallah et al. Surrogate-based shape optimization of stall margin and efficiency of a centrifugal compressor
Mengistu et al. Single and multipoint shape optimization of gas turbine blade cascades
Giannakoglou Designing turbomachinery blades using evolutionary methods
Pongetti et al. Using autoencoders and output consolidation to improve machine learning models for turbomachinery applications
Demeulenaere et al. Multi-disciplinary multi-point optimization of a turbocharger compressor wheel
Barsi et al. Aerodynamic design of a centrifugal compressor stage using an automatic optimization strategy
Arabnia et al. A strategy for multi-point shape optimization of turbine stages in three-dimensional flow
Chahine et al. The influence of metamodeling techniques on the multidisciplinary design optimization of a radial compressor impeller
Arabnia Aerodynamic shape optimization of axial turbines in three dimensional flow
Iliopoulou et al. Design optimization of a HP compressor rotor blade and its hub endwall
Öksüz et al. Multi-objective aerodynamic optimization of axial turbine blades using a novel multilevel genetic algorithm
Luers et al. Adjoint-based volumetric shape optimization of turbine blades
Puente et al. Comparison between aerodynamic designs obtained by human driven and automatic procedures
Liu et al. Two schemes of multi-objective aerodynamic optimization for centrifugal impeller using response surface model and genetic algorithm
Nafar-Sefiddashti et al. A novel optimization approach for axial turbine blade cascade via combination of a continuous-curvature parameterization method and genetic algorithm
Kumar Robust design methodologies: Application to compressor blades