Improvement in Accuracy of Performance Prediction for Centrifugal Pumps by Loss Model Calibration of Meanline Analysis

This study presents an improved one-dimensional meanline analysis for predicting the hydraulic performance of a single-stage centrifugal pump. The basic model for the meanline analysis is derived from the Euler equation, defined by the velocity triangle and the Wiesner slip factor. Empirical coefficients from the loss models proposed in previous studies are listed and selected as variables for calibration. Latin hypercube sampling is employed to generate multiple sampling points to calibrate the coefficients in the loss models. Three centrifugal pumps with different specific speeds are selected, and the relative errors of the head and efficiency values obtained from experiments and the meanline analysis are calculated to quantify the prediction model's accuracy. The optimal combination of loss model coefficients that minimizes the mean square error between the experimental values and the meanline analysis is determined from the sampling points. The reliability of the methodology is demonstrated by showing that the predicted values for head and efficiency are within 5% and 10% error ranges, respectively.

Authors

Publication Details

Journal
The KSFM Journal of Fluid Machinery
Published
2025-02-28
DOI
https://doi.org/10.5293/kfma.2025.28.1.016
Primary Topic
Cavitation Phenomena in Pumps
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improvement in Accuracy of Performance Prediction for Centrifugal Pumps by Loss Model Calibration of Meanline Analysis

Hyeon-Seok Shim
The KSFM Journal of Fluid Machinery
Cavitation Phenomena in Pumps
article

Improvement in Accuracy of Performance Prediction for Centrifugal Pumps by Loss Model Calibration of Meanline Analysis

Hyeon-Seok Shim
article en

Abstract

This study presents an improved one-dimensional meanline analysis for predicting the hydraulic performance of a single-stage centrifugal pump. The basic model for the meanline analysis is derived from the Euler equation, defined by the velocity triangle and the Wiesner slip factor. Empirical coefficients from the loss models proposed in previous studies are listed and selected as variables for calibration. Latin hypercube sampling is employed to generate multiple sampling points to calibrate the coefficients in the loss models. Three centrifugal pumps with different specific speeds are selected, and the relative errors of the head and efficiency values obtained from experiments and the meanline analysis are calculated to quantify the prediction model's accuracy. The optimal combination of loss model coefficients that minimizes the mean square error between the experimental values and the meanline analysis is determined from the sampling points. The reliability of the methodology is demonstrated by showing that the predicted values for head and efficiency are within 5% and 10% error ranges, respectively.

The KSFM Journal of Fluid MachineryVol. 28(1)
Affordable and clean energy
Openalex Percentile: Top 96%
Cavitation Phenomena in Pumps
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.

Improvement in Accuracy of Performance Prediction for Centrifugal Pumps by Loss Model Calibration of Meanline Analysis — Hyeon-Seok Shim · The KSFM Journal of Fluid Machinery (2025) | TGRS Research Map | TGRS