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Neural network analysis of single swirl spray pattern at various pressure drops

Soltani, M. R ; Sharif University of Technology | 2003

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  1. Type of Document: Article
  2. DOI: 10.2514/6.2003-4757
  3. Publisher: American Institute of Aeronautics and Astronautics Inc , 2003
  4. Abstract:
  5. Radial Basis Function, a neural network based interpolation method, is used to simulate swirling spray phenomenon. From this model, the profile of mean velocity components' distribution along the main axis of the injector at various pressure drops and spray measurements' plane are obtained and analyzed. Experimental data obtained through Phase Doppler Anemometer is used to train this model. The results are compared with experimental data as well as to those obtained through General Regression Neural Network method as another neural network based interpolation method investigated previously by the authors. © 2003 by M.R. Soltani
  6. Keywords:
  7. Drops ; Propulsion ; Pressure drop ; Interpolation
  8. Source: 39th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit 2003, Huntsville, AL, 20 July 2003 through 23 July 2003 ; 2003 ; 9781624100987 (ISBN)
  9. URL: https://arc.aiaa.org/doi/10.2514/6.2003-4757