Journal or Book Title
Transactions of the ASAE
Research Focus Area(s)
Biological and Process Engineering and Technology
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.
American Society of Agricultural and Biological Engineers
Balascio, Carmine C.; Misra, Manjit K.; and Johnson, Howard P., "Particle Movement and Separation Phenomena for a Gravity Separator: II. Experimental Data and Performance of Distance-Transition Markov Models" (1987). Agricultural and Biosystems Engineering Publications. 544.