Simulation Study of Mass Transfer Coefficient in Slurry Bubble Column Reactor Using Neural Network

Simulation Study of Mass Transfer Coefficient in Slurry Bubble Column Reactor Using Neural Network

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The objective of this study was to develop neural network algorithm, (Multilayer Perceptron), based correlations for the prediction overall volumetric mass-transfer coefficient (kLa), in slurry bubble column for gas-liquid-solid systems. The Multilayer Perceptron is a novel technique based on the fe...

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Bibliographic Details
Main Authors: Safa A. Al-Naimi, Salih A.J. Salih, Hayder A. Mohsin
Format: Article
Language:English
Published: Al-Khwarizmi College of Engineering – University of Baghdad 2013-01-01
Series:Al-Khawarizmi Engineering Journal
Subjects:
slurry bubble column reactor
mass transfer coefficient
neural network
Online Access:http://www.iasj.net/iasj?func=fulltext&aId=69977

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http://www.iasj.net/iasj?func=fulltext&aId=69977

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