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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Simple analytical models can be employed to estimate the leakage mass flow rate from labyrinth seals, resulting in a quick procedure, well suited for the early design process. Different formulas were proposed by many authors during the past decades and most of them employ a carry-over factor and a flow coefficient to predict the mass flow rate across the clearance area. The present work aims to compare the analytical prediction with the results of an experimental campaign. The experimental results were retrieved from a dedicated test rig for both a straight-through and a stepped labyrinth seal. Hence, for each seal, the effect of the clearance size, the Reynolds number and the pressure ratio has been investigated. Starting from the experimental required inputs, six different correlations are considered, with both direct and indirect methods. The results are shown as a function of pressure ratio and clearance gap. Despite some differences in the comparison, and most of the used correlation underestimate the measured mass flow rate, some general trends and guidelines can be highlighted.

Details

Title
Experimental Assessment of Correlative Approaches for the Prediction of Leakage Flow through Labyrinth Seals
Author
Castelli, Niccolò 1   VIAFID ORCID Logo  ; Bacci, Tommaso 1   VIAFID ORCID Logo  ; Picchi, Alessio 1   VIAFID ORCID Logo  ; Winchler, Lorenzo 2   VIAFID ORCID Logo  ; Facchini, Bruno 1 

 Department of Industrial Engineering (DIEF), University of Florence, 50139 Firenze, Italy; [email protected] (N.C.); [email protected] (T.B.); [email protected] (B.F.) 
 Baker Hughes—Nuovo Pignone Tecnologie, 50127 Firenze, Italy; [email protected] 
First page
6863
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20763417
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2829707397
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.