Advanced RTD Prediction and Optimization in Three-Phase Bubble Column Reactors: Leveraging Deep Learning for Enhanced Industrial Efficiency
Year: 2024
Type: article
Abstract: This research aims to improve industrial efficiency by focusing on bubble column reactors, which are critical to many industrial processes. However, predicting residence time distribution (RTD) and optimizing reactor performance is challenging due to the complex interplay of factors like gas and liquid flow rates, particle size, reactor pressure, and temperature.
Author: Asadi Srinivasulu
Institutions: CRC CARE, University of Newcastle Australia
Language: English
Topic: Fluid Dynamics and Mixing
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409828165