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

Show other versions (1)

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...

Full description

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

Similar Items

Similar Items