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Application of fuzzy logic to axial compressor performance map prediction

Ghorbanian, K ; Sharif University of Technology | 2007

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  1. Type of Document: Article
  2. DOI: 10.1115/POWER2007-22174
  3. Publisher: 2007
  4. Abstract:
  5. The present paper applies fuzzy logic technique to predict the performance map of an axial compressor. This technique relies on employing the information of a data curve in concert with the information at the design point. Further, the learning capability of ANN technique is integrated to the potential of fuzzy logic. A comparison of the predicted results with experimental data reveals a very good agreement. The proposed technique has not only the capability to model the nonlinear surge line as well as the kink in a classical compressor performance map but also it can be used as an alternative tool to foresee the effect of modification of design variables, as well as to guide the design optimization procedure in a short time frame. Copyright © 2007 by ASME
  6. Keywords:
  7. Axial compressors ; Design variables ; Compressors ; Data reduction ; Neural networks ; Optimization ; Fuzzy logic
  8. Source: 2007 ASME Power Conference, San Antonio, TX, 17 July 2007 through 19 July 2007 ; 2007 , Pages 49-54 ; 0791842738 (ISBN); 9780791842737 (ISBN)
  9. URL: https://asmedigitalcollection.asme.org/POWER/proceedings-abstract/POWER2007/42738/49/321770