Advanced RTD Prediction and Optimization in Three-Phase Bubble Column Reactors: Leveraging Deep Learning for Enhanced Industrial Efficiency

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.

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Publication Details

Journal
Biomedical Journal of Scientific & Technical Research
Published
2024-12-12
DOI
https://doi.org/10.26717/bjstr.2024.59.009364
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
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article

Advanced RTD Prediction and Optimization in Three-Phase Bubble Column Reactors: Leveraging Deep Learning for Enhanced Industrial Efficiency

Asadi Srinivasulu
Biomedical Journal of Scientific & Technical Research
Metallurgical Processes and Thermodynamics
article

Advanced RTD Prediction and Optimization in Three-Phase Bubble Column Reactors: Leveraging Deep Learning for Enhanced Industrial Efficiency

Asadi Srinivasulu
article en

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.

Biomedical Journal of Scientific & Technical ResearchVol. 59(5)
University of Newcastle Australia (AU)
Industry, innovation and infrastructure
Openalex Percentile: Top 71%
Metallurgical Processes and Thermodynamics
DOIOpen Access PDFOpenAlex
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Advanced RTD Prediction and Optimization in Three-Phase Bubble Column Reactors: Leveraging Deep Learning for Enhanced Industrial Efficiency — Asadi Srinivasulu · Biomedical Journal of Scientific & Technical Research (2024) | TGRS Research Map | TGRS