Please use this identifier to cite or link to this item:
Title: Effect of Promoters and Secondary Fluidizing Medium on Mixing: Statistical and ANN Approaches
Authors: Mohanty, Y K
Mohanty, B P
Roy, G K
Biswal, K C
Keywords: mixing
factorial design
secondary air
artificial neural network
Issue Date: 2008
Publisher: Wiley Interscience
Citation: Wiley Interscience, Asia-Pacific Journal of Chemical Engineering, Volume 3, Issue 5, September 2008, Pages 550-559
Abstract: Factorial design (statistical approach) and artificial neural network (ANN) models have been developed for the prediction of mixing the index with four system parameters, such as static bed heights, average particle densities, average particle sizes and gas velocities, under four different experimental conditions, viz., only primary air, simultaneous primary and secondary air, disc promoter and rod promoter. The values of the mixing index obtained through the developed models are found to agree well with their experimental counterparts. It has also been found from these investigations that under simultaneous primary and secondary air supply conditions the best mixing performance is achieved, i.e. IM 1.0, as compared to rod promoter, disc promoter, and only primary air supply.
URI: http://10.1002/apj.179
Appears in Collections:Journal Articles

Files in This Item:
File Description SizeFormat 
effect.pdf149.52 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.