Date of Award
Master of Science
Paper Engineering, Chemical Engineering and Imaging (to 2013)
Mr. Reid Miner
Dr. Richard Valley
Dr. Micheal Stoline
Masters Thesis-Open Access
A steady-state probabilistic model is chosen to simulate the brownstock washing system's uncertainty which arises from unpredictable process fluctuations and measurement noise. Distribution sampling is used to construct multiple mass balances of a washing system. Included in this model is a linear relationship describing the correlation between dilution and displacement which allows displacement ratio to be generated based on dilution factor. This is an improvement over a similar, earlier model which considers all variables to be independent. There is no statistical difference between the mean output of the simulation and the means of data sets collected at two different mills. Additional work is required to determine whether the observed variability in variance estimates is within expected bounds.
Pease, Jacqueline K., "A Computer Simulation of the Rotary Drum Brownstock Washer System Using the Monte Carlo Method of Distribution Sampling" (1987). Master's Theses. 1248.