Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/868
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 fluidization promoter 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 http://hdl.handle.net/2080/868 |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
effect.pdf | 149.52 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.