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Axial Fan Optimization Using 3D Codes

[+] Author Affiliations
M. L. Kuzmenko, I. N. Egorov, Yu. N. Shmotin

NPO “SATURN”, Moscow, Russia

Paper No. GT2005-68209, pp. 983-990; 8 pages
doi:10.1115/GT2005-68209
From:
  • ASME Turbo Expo 2005: Power for Land, Sea, and Air
  • Volume 6: Turbo Expo 2005, Parts A and B
  • Reno, Nevada, USA, June 6–9, 2005
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 0-7918-4730-6 | eISBN: 0-7918-3754-8
  • Copyright © 2005 by ASME

abstract

The paper presents examples of research aimed at axial fan optimization: both mechanical and aerodynamic. The optimization is based on up-to-date analysis and optimization tools. As the analysis tools the well-known commercial software packages (FINE/Design3D, CFX-TASCflow and ANSYS) are used, as well as the models developed by NPO Saturn. As the optimization tools the IOSO technology was used. This technology is based on the widespread application of the response surface technique. Two examples of real-world problems and their optimized solutions are presented in the paper. The first one is connected with the search for optimum geometry for the rotor of up-to-date fan. The goal of the research was to ensure highest strength indices of the rotor. The multi-objective approach was used to solve this task (5 objectives). As the analysis the ANSYS software code was used, while the search for optimum solutions was carried out using IOSO NM algorithm designed for parallel multi-objective optimization within the frameworks of IOSO Technology. As a result, the improvement of all strength indices was obtained (from 9 to 56% as compared with the prototype). The goal of the second optimization problem was to increase the efficiency of fan rotor in the given point of its characteristics considering the splitting of the flow into core and bypass ducts. The peculiarity of this problem was the necessity to keep strength constraints (multidisciplinary approach). To solve this problem the 3-D CFD code and multilevel algorithm of IOSO technology was used. The search for optimum was carried out in the multi-objective statement (the compromise between the efficiency levels for core and bypass contours was searched). The optimization research allowed the rise of the fan rotor efficiency by more than 1.5%.

Copyright © 2005 by ASME
Topics: Optimization

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