Aerodynamic optimization using building cube method and data mining with proper orthogonal decomposition

Yoshinori Andoh, Koji Shimoyama, Shinkyu Jeong, Shigeru Obayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this study, the computational accuracy of BCM compressible Euler solver was first validated with NACA0012 airfoil. The result of validation showed that BCM was in good agreement with the TAS code. Next, the BCM solver was applied to the aerodynamic design optimization problem of shock free airfoil. The airfoil without a shock wave was successfully designed. Finally, data mining was performed using POD in order to understand the characteristics of configuration for the obtained airfoils by optimization. As a result, it is revealed that the acceleration of flow on upper surface is reduced by the flattened upper surface of airfoil to weaken a shock wave.

Original languageEnglish
Title of host publication6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
Pages1882-1887
Number of pages6
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan
Duration: 2012 Nov 202012 Nov 24

Publication series

Name6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012

Other

Other2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
CountryJapan
CityKobe
Period12/11/2012/11/24

Keywords

  • Aerodynamic Optimization
  • Building Cube Method
  • CFD
  • Compressible flow
  • Inviscid Flow
  • POD

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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