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The aim is to create an engineering-oriented framework for predicting the separation efficiency of gas-liquid cyclone separators.

April 7, 2026ProcessesOpen Access

A Predictive Model for Separation Efficiency in Gas–Liquid Cyclone Separators

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The aim is to create an engineering-oriented framework for predicting the separation efficiency of gas-liquid cyclone separators.
Development of a predictive framework utilizing split ratio and axial residence time.
Derivation of a relative migration index based on velocity metrics.
Validation of the model using Eulerian–Eulerian simulations and Particle Image Velocimetry tests.
Achieved an R2 value of 0.762 for model evaluation.
Root mean square error (RMSE) of 0.07 during simulation validation.
RMSE values of 0.061 for simulation versus test and 0.108 for prediction versus test in Particle Image Velocimetry tests.

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Develops a predictive model for separation efficiency in gas-liquid cyclone separators, suggesting practical engineering applications.

Chen et al. (2026) studied this question.

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