Date of Award

12-1987

Degree Name

Master of Science

Department

Paper Engineering, Chemical Engineering and Imaging (to 2013)

First Advisor

Mr. Reid Miner

Second Advisor

Dr. Richard Valley

Third Advisor

Dr. Micheal Stoline

Access Setting

Masters Thesis-Open Access

Abstract

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.

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