Date of Award

12-1992

Degree Name

Master of Science

Department

Paper Engineering, Chemical Engineering and Imaging (to 2013)

First Advisor

Dr. Raja Aravamuthan

Second Advisor

Dr. Gerald Sievers

Third Advisor

Mr. Jay Unwin

Access Setting

Masters Thesis-Open Access

Abstract

A probabilistic model was utilized to simulate the brown stock washing system's error due to process variability and measurement noise. Mass balances of the washing system were performed using distribution sampling. This model relies on a nonlinear relationship between displacement and dilution, which permitted the generation of displacement ratio based upon wash liquor ratio. Experimental trials were performed on a pilotscale rotary vacuum single-stage washer. Nonlinear first-order relationship appears to characterize a pilotscale washer adequately. Differences were observed between the means and standard deviations of the measured results compared to the simulation output. Future work is needed to identify the cause of the differences in the means and standard deviations, and to determine if the nonlinear relationship is applicable to commercial-scale washing systems.

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