0

Full Content is available to subscribers

Subscribe/Learn More  >

The Use of Artificial Neural Networks for Performance Prediction of Return Channels for Industrial Centrifugal Compressors

[+] Author Affiliations
Simone Pazzi, Francesci Martelli

Università di Firenze, Firenze, Italy

Vittorio Michelassi

Università Roma Tre, Roma, Italy

Marco Giachi

Nuovo Pignone – GE, Firenze, Italy

Paper No. GT2002-30392, pp. 629-637; 9 pages
doi:10.1115/GT2002-30392
From:
  • ASME Turbo Expo 2002: Power for Land, Sea, and Air
  • Volume 5: Turbo Expo 2002, Parts A and B
  • Amsterdam, The Netherlands, June 3–6, 2002
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 0-7918-3610-X | eISBN: 0-7918-3601-0
  • Copyright © 2002 by ASME

abstract

An innovative procedure for the preliminary design and optimization of return channels for centrifugal compressors is explained. A typical configuration of bladed return channel for industrial centrifugal compressors is analyzed by means of a well-known commercial Navier-Stokes solver. A set of geometrical parameters groups is chosen in order to represent the most significant changes in geometry with respect to the base configuration. A series of new return channel configurations is obtained as the result of variations of one or more geometrical parameters. Each geometry obtained with this procedure is analyzed by the flow solver which returns a set of accurately chosen performance indices quantifying aerodynamic losses and distortions at the eye of the downstream impeller. The results thus obtained are used to train a simple one-layer Neural Network (NN) which is afterwards interrogated to compute some performance maps linking the performance indices to the three most relevant geometrical parameters. A further computation is carried out on some return channel configurations which have not been previously analyzed. The results confirm that the interpolator is able to predict the return channels performances with a good accuracy. The resulting performance maps, validated by some random tests, seem to be a valid tool for performance prediction of this kind of return channels.

Copyright © 2002 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In