Optimization of Radial Impeller Geometry

Abstract

This lecture first provides an overview of the relation between the flow mechanisms in radial impellers and the 3D geometry. Special emphasis is given to secondary flows and the pressure gradients that govern them. It is followed by the description of a computerized optimization technique for the design of radial impellers. It is shown how the use of a Database, Artificial Neural Network and Genetic algorithm can be used to accelerate the design process and to improve performance.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA476514

Entities

People

  • R. A. Van Den Braembussche

Organizations

  • von Kármán Institute for Fluid Dynamics

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Boundary Layer
  • Centrifugal Force
  • Databases
  • Flow
  • Fluid Dynamics
  • Genetic Algorithms
  • Geometry
  • Leading Edges
  • Mass Flow
  • Neural Networks
  • Optimization
  • Pressure Distribution
  • Pressure Gradients
  • Secondary Flow
  • Three Dimensional

Readers

  • Aerodynamics.
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

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