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

  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...

Full description

Bibliographic Details
Main Authors: Safa A. Al-Naimi, Salih A.J. Salih, Hayder A. Mohsin
Format: Article
Published: Al-Khwarizmi College of Engineering – University of Baghdad 2017-12-01
Series:Al-Khawarizmi Engineering Journal
Online Access: