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Shape optimization of cut-off in a multi-blade fan/scroll system using neural network.

Author(s) : HAN S. Y., MAENG J. S.

Type of article: Article

Summary

In order to improve efficiency of a system with three-dimensional flow characteristics, this article presents a new method that overcomes the computational difficulties associated with three-dimensional effects by using two-dimensional CFD (Computational Fluid Dynamics) and a neural network. The method was applied to the shape optimization of cut-off in a multi-blade fan/scroll system. As for the entrance conditions of two-dimensional CFD analysis, the experimental values at the positions apart from the inactive zone were used. The distributions of velocity and pressure obtained by two-dimensional CFD analysis were compared with those of three-dimensional CFD analysis and experimental results. It was found that the distributions of velocity and pressure have qualitative similarity. The results of two-dimensional CFD analysis were used for identifying the target values of a neural network.

Details

  • Original title: Shape optimization of cut-off in a multi-blade fan/scroll system using neural network.
  • Record ID : 2004-1876
  • Languages: English
  • Source: International Journal of Heat and Mass Transfer - vol. 46 - n. 15
  • Publication date: 2003/07

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