An Integrated Optimization System for Turbomachinery Blade Shape Design

Abstract

This paper presents a new integrated methodology for the optimization of turbomachinery blade shapes coupling a user interface, a blade geometry generator to an automatic CFD solution process and an optimisation algorithm. The methodology relies on the interaction between a genetic algorithm, a database and user generated objective functions and constraints. The latter includes aerodynamic, geometrical and structural constraint functions, while future developments will extend these to aero-acoustic optimisation objectives. Several examples, covering gas turbine configurations are presented.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2003
Accession Number
ADP014160

Entities

People

  • Ch. Hirsch
  • S. Pierret

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Boundary Layer
  • Compressors
  • Computational Fluid Dynamics
  • Computations
  • Flow Fields
  • Fluid Mechanics
  • Genetic Algorithms
  • Geometry
  • Graphical User Interface
  • Mechanical Properties
  • Neural Networks
  • Pressure Distribution
  • Three Dimensional
  • Turbines
  • Turbomachinery
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Aerodynamics.
  • Operations Research
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Biotechnology