A Rapid Theoretical Approach for Estimating the Energy Losses Induced by Tip Clearance Jets in Centrifugal Pumps

Abstract The semi-open centrifugal pump plays a critical role in energy conversion and fluid transport. However, the formation of the tip clearance jet (TCJ) complicates the flow pattern, leading to a significant reduction in energy conversion efficiency. In practice, an empirical formula is frequently employed to estimate energy losses at the blade tips, but this method is constrained by single-point predictions and low accuracy. This study proposes a rapid theoretical approach based on fluid element forces to more accurately estimate energy losses associated with TCJ in centrifugal blades. Our results demonstrate the effectiveness of this approach in predicting differential pressure at the blade tip, jet flow rates, and jet energy losses, with average errors of 4.73%, 4.41%, and 5.42% relative to numerical simulations. From a theoretical perspective, we confirm that differential pressure is the primary driving force behind TCJ formation. In engineering cases with gap sizes of 0.5 mm and 1.1 mm, the empirical formula resulted in prediction errors of 20.08% and 16.34%, respectively. In contrast, our theoretical approach achieves a prediction error of less than 4.5% at the design point, with a 72% improvement in accuracy, while maintaining high precision even under off-design conditions. These findings highlight the advantages of our approach, including its multipoint prediction capability and high precision. This study introduces a novel method for estimating energy losses in centrifugal pumps due to TCJ.

Authors

Institutions

Publication Details

Journal
Journal of Fluids Engineering
Published
2025-04-18
DOI
https://doi.org/10.1115/1.4068461
Citations
1
Primary Topic
Cavitation Phenomena in Pumps
Type
article
Field-Weighted Citation Impact
0.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Rapid Theoretical Approach for Estimating the Energy Losses Induced by Tip Clearance Jets in Centrifugal Pumps

Zekui Shu, Shuiguang Tong, Zheming Tong, Jinfu Li
1 citations
Journal of Fluids Engineering
Cavitation Phenomena in Pumps
0.86
article

A Rapid Theoretical Approach for Estimating the Energy Losses Induced by Tip Clearance Jets in Centrifugal Pumps

Zekui Shu, Shuiguang Tong, Zheming Tong, Jinfu Li
article en
1 citations

Abstract

Abstract The semi-open centrifugal pump plays a critical role in energy conversion and fluid transport. However, the formation of the tip clearance jet (TCJ) complicates the flow pattern, leading to a significant reduction in energy conversion efficiency. In practice, an empirical formula is frequently employed to estimate energy losses at the blade tips, but this method is constrained by single-point predictions and low accuracy. This study proposes a rapid theoretical approach based on fluid element forces to more accurately estimate energy losses associated with TCJ in centrifugal blades. Our results demonstrate the effectiveness of this approach in predicting differential pressure at the blade tip, jet flow rates, and jet energy losses, with average errors of 4.73%, 4.41%, and 5.42% relative to numerical simulations. From a theoretical perspective, we confirm that differential pressure is the primary driving force behind TCJ formation. In engineering cases with gap sizes of 0.5 mm and 1.1 mm, the empirical formula resulted in prediction errors of 20.08% and 16.34%, respectively. In contrast, our theoretical approach achieves a prediction error of less than 4.5% at the design point, with a 72% improvement in accuracy, while maintaining high precision even under off-design conditions. These findings highlight the advantages of our approach, including its multipoint prediction capability and high precision. This study introduces a novel method for estimating energy losses in centrifugal pumps due to TCJ.

Journal of Fluids EngineeringVol. 147(10)
Hangzhou DAC Biotech (China) (CN), Zhejiang University (CN)
Openalex Percentile: Top 32%
Cavitation Phenomena in Pumps
0.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.