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Analysis of Measured and Predicted Turbine Maps From Start-Up to Design Point

Authors :
Stefano Francini
Alberto Scotti Del Greco
Michele Marconcini
Daniele Di Benedetto
Tomasz Jurek
Sara Biagiotti
Vittorio Michelassi
Source :
Journal of Turbomachinery. 144
Publication Year :
2022
Publisher :
ASME International, 2022.

Abstract

This paper describes a coupled experimental and computational fluid dynamics (CFD) campaign conducted on a 1.5 intermediate turbine stage in the full range of operating conditions, from start-up to design point under variable expansion ratio and physical speed. The test maintains engine similitude conditions and allows direct comparison with CFD data to assess the predictions accuracy. The choice of variables to describe the speedlines is also addressed by using both measured and predicted data. A discussion on velocity ratio versus corrected speed illustrates the advantages of the former parameter the adoption of which produces constant shape curves in a very wide range of operating conditions. The comparison between measurements and predictions suggests that CFD, in conjunction with performance correlations, is a viable tool to predict speedlines in a fairly wide range of conditions, provided that geometrical and operational details are carefully matched.

Details

ISSN :
15288900 and 0889504X
Volume :
144
Database :
OpenAIRE
Journal :
Journal of Turbomachinery
Accession number :
edsair.doi.dedup.....006a89de82c3d091ea32fb81d64836c6
Full Text :
https://doi.org/10.1115/1.4053656