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An Intelligent/Learning Axial Fan Design System PUBLIC ACCESS

[+] Author Affiliations
Dennis G. Jackson, Jr., Terry Wright

University of Alabama at Birmingham, Birmingham, AL

Paper No. 91-GT-027, pp. V001T01A006; 8 pages
doi:10.1115/91-GT-027
From:
  • ASME 1991 International Gas Turbine and Aeroengine Congress and Exposition
  • Volume 1: Turbomachinery
  • Orlando, Florida, USA, June 3–6, 1991
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-7898-9
  • Copyright © 1991 by ASME

abstract

A computer-based axial fan design system has been developed that allows the designer to rapidly obtain a preliminary axial fan design. Program FANDES allows the designer two options to determine the preliminary design parameters for a single-stage axial fan. The first option allows the designer the ability to design an axial fan using conventional blade-element design techniques. The second option enables the designer to search a database of previously designed fans for a set of scaled fans that will satisfy the current design point requirements. The designer can then refine one of the fans in this set to possibly improve the selected fan’s performance. The database of fans is utilized and maintained by FANDES and new fans are added at the user’s request. This allows for an intelligent program that is constantly learning from previous designs. As more fans are designed and saved to the database the design process becomes more of a selection and refinement process of previously designed fans.

Copyright © 1991 by ASME
Topics: Design
This article is only available in the PDF format.

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