Effect of promoters and secondary fluidizing medium on mixing: statistical and ANN approaches

Autor:	B.P. Mohanty, Y. K. Mohanty, G K Roy, K.C. Biswal
Rok vydání:	2008
Předmět:	Materials science Chemical engineering Renewable Energy Sustainability and the Environment General Chemical Engineering System parameters Particle Mechanics Fluidization Factorial experiment Waste Management and Disposal Mixing (physics)
Zdroj:	Asia-Pacific Journal of Chemical Engineering. 3:550-559
ISSN:	1932-2143 1932-2135
Popis:	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.  2008 Curtin University of Technology and John Wiley & Sons, Ltd.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::899b5200c6212edddb668cd55e181fea https://doi.org/10.1002/apj.179 Zobrazit plný text záznamu Plný text