Enhancing random forest model prediction of gas holdup in internal draft airlift loop contactors with genetic algorithms tuning and interpretability.

ABSTRACT: Gas holdup in an Internal Loop Airlift Contactor (ILAC) is one of the primary hydrodynamic features that governs the performance of the contactor. Prediction of gas holdup assumes importance in the design of airlift contactor. The key challenge in prediction of gas holdup is due to the difficulty in obtaining reliable phenomenological models. The improved prediction accuracies can provide better contactor design and equipment performance. The current work focuses on the use of data driven models for prediction of gas holdup, as the existing empirical correlations were found to be inadequate. In this work, 324 data points from the reported works on internal draft airlift contactor are consolidated. The input part of the examples in the data set consists of ten features which are related to

SUBMITTER: Prabhu H 

PROVIDER: S-EPMC11920249 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature