Reduced-order methodologies for feedback control of particle size distribution in semi-batch emulsion copolymerization

2008 ◽  
Vol 63 (5) ◽  
pp. 1230-1245 ◽  
Author(s):  
Mustafa T. Dokucu ◽  
Myung-June Park ◽  
Francis J. Doyle
Keyword(s):  
Particle Size ◽  
Feedback Control ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Emulsion Copolymerization ◽  
Reduced Order

scholarly journals Predicting Emission Source Terms in a Reduced-Order Fire Spread Model—Part 1: Particulate Emissions

Fire ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 4
Author(s):  
Alexander J. Josephson ◽  
Troy M. Holland ◽  
Sara Brambilla ◽  
Michael J. Brown ◽  
Rodman R. Linn
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Fire Spread ◽  
Particle Emission ◽  
Emission Source ◽  
Conifer Forests ◽  
Reduced Order ◽  
Spread Model ◽  
Fire Spread Model

A simple, easy-to-evaluate, surrogate model was developed for predicting the particle emission source term in wildfire simulations. In creating this model, we conceptualized wildfire as a series of flamelets, and using this concept of flamelets, we developed a one-dimensional model to represent the structure of these flamelets which then could be used to simulate the evolution of a single flamelet. A previously developed soot model was executed within this flamelet simulation which could produce a particle size distribution. Executing this flamelet simulation 1200 times with varying conditions created a data set of emitted particle size distributions to which simple rational equations could be tuned to predict a particle emission factor, mean particle size, and standard deviation of particle sizes. These surrogate models (the rational equation) were implemented into a reduced-order fire spread model, QUIC-Fire. Using QUIC-Fire, an ensemble of simulations were executed for grassland fires, southeast U.S. conifer forests, and western mountain conifer forests. Resulting emission factors from this ensemble were compared against field data for these fire classes with promising results. Also shown is a predicted averaged resulting particle size distribution with the bulk of particles produced to be on the order of 1 μm in size.

Effects of Particle Size Distribution on Corrosion Rate of Carbon Steel in Soil

2020 ◽  
Vol 69 (4) ◽  
pp. 102-106
Author(s):  
Shota Ohki ◽  
Shingo Mineta ◽  
Mamoru Mizunuma ◽  
Soichi Oka ◽  
Masayuki Tsuda
Keyword(s):  
Particle Size ◽  
Carbon Steel ◽  
Corrosion Rate ◽  
Particle Size Distribution ◽  
Size Distribution
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