Article
Particle Movement and Separation Phenomena for a Gravity Separator: II. Experimental Data and Performance of Distance-Transition Markov Models
Transactions of the ASAE
Document Type
Article
Disciplines
Publication Date
1-1-1987
DOI
10.13031/2013.30647
Abstract
Linear programming procedures are used to fit stationary and nonstationary distance-transition Markov probability models to experimentally obtained particle distribution data from the deck of a gravity separator. Particle movement modeled is that of a light discard fraction. Performance of the models is examined by comparing predicted "typical'' particle pathways with observed particle pathways. The Markov process is found to be an appropriate model of particle movement.
Access
Open
Copyright Owner
American Society of Agricultural and Biological Engineers
Copyright Date
1987
Language
en
File Format
application/pdf
Citation Information
Carmine C. Balascio, Manjit K. Misra and Howard P. Johnson. "Particle Movement and Separation Phenomena for a Gravity Separator: II. Experimental Data and Performance of Distance-Transition Markov Models" Transactions of the ASAE Vol. 30 Iss. 6 (1987) p. 1840 - 1847 Available at: http://works.bepress.com/manjit_misra/26/
This article is from Transactions of the ASAE 30 (1987): 1840–1847, doi:10.13031/2013.30647. Posted with permission.