Degree Type

Dissertation

Date of Award

1985

Degree Name

Doctor of Philosophy

Department

Agricultural and Biosystems Engineering

Abstract

A distance-transition Markov process was assumed to govern the movement of particles through a gravity separation table. Seven experiments were performed in which data were collected for a gravity separation table that was operated with particle mixtures consisting of soybeans and soybean splits and particle mixtures consisting of soybeans and 3/16 inch polypropelene balls. Stationary and nonstationary Markov models were fitted to the laboratory data. Particle distributions and particle pathways were successfully predicted by using an initial distribution of particles and the transition probabilities which defined the Markov processes.

DOI

https://doi.org/10.31274/rtd-180813-5646

Publisher

Digital Repository @ Iowa State University, http://lib.dr.iastate.edu/

Copyright Owner

Carmine Carey Balascio

Language

en

Proquest ID

AAI8514370

File Format

application/pdf

File Size

246 pages

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