Calibration of RNG k-ε Model Constants Based on Experimental Data Assimilation: A Study on the Flow Characteristics of Air-Lifted Plunger Interstitial Flow

Calibration of RNG k-ε Model Constants Based on Experimental Data Assimilation: A Study on the Flow Characteristics of Air-Lifted Plunger Interstitial Flow

This study optimized the constants of the RNG k-ε model using the Ensemble Kalman Filter (ENKF) data assimilation method to improve the accuracy of air-lift plunger gap flow predictions. For high Reynolds number turbulent flow, we conducted numerical simulations integrating experimental data with a...

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Bibliographic Details
Main Authors: Jinglong Zhang, Yucheng Song, Yan Xu, Yanli Yang, Jiahuan Wang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
Ensemble Kalman Filter
data assimilation
air-lift plunger
flow characteristics
predictive accuracy
Online Access:https://www.mdpi.com/2076-3417/15/8/4515
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