A1 Journal article (refereed), original research

Validation of the Axial Thrust Estimation Method for Radial Turbomachines


Open Access hybrid publication

Publication Details
Authors: Tiainen Jonna, Jaatinen-Värri Ahti, Grönman Aki, Sallinen Petri, Honkatukia Juha, Hartikainen Toni
Publisher: Hindawi Publishing Corporation
Publication year: 2021
Language: English
Related Journal or Series Information: International Journal of Rotating Machinery
Volume number: 2021
ISSN: 1023-621X
eISSN: 1542-3034
JUFO-Level of this publication: 1
Open Access: Open Access hybrid publication
Location of the parallel saved publication: http://urn.fi/URN:NBN:fi-fe202103026321

Abstract

The fast preliminary design and safe operation of turbomachines require a
simple and accurate prediction of axial thrust. An underestimation of
these forces may result in undersized bearings that can easily overload
and suffer damage. While large safety margins are used in bearing design
to avoid overloading, this leads to costly oversizing. In this study,
the accuracy of currently available axial thrust estimation methods is
analyzed by comparing them to each other and to theoretical pressure
distribution, numerical simulations, and new experimental data.
Available methods tend to underestimate the maximum axial thrust and
require data that are unavailable during the preliminary design of
turbomachines. This paper presents a new, simple axial thrust estimation
method that requires only a few preliminary design parameters as the
input data and combines the advantages of previously published methods,
resulting in a more accurate axial thrust estimation. The method is
validated against previously public data from a radial pump and new
experimental data from a centrifugal compressor, the latter measured at
Lappeenranta-Lahti University of Technology LUT, Finland, and two gas
turbines measured at Aurelia Turbines Oy, Finland. The maximum deviation
between the estimated axial thrust using the hybrid method and the
measured one is less than 13%, while the other methods deviate by tens
of percent.


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Last updated on 2021-02-03 at 11:25