Date of Award
12-1992
Degree Name
Master of Science
Department
Chemical and Paper Engineering
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.
Recommended Citation
Yiu, Edison G., "A Computer Simulation of the Rotary Vacuum Filter Brown Stock Washing System Using Distribution Sampling" (1992). Masters Theses. 953.
https://scholarworks.wmich.edu/masters_theses/953
Included in
Chemical Engineering Commons, Computer Sciences Commons, Statistics and Probability Commons