George Mason University
CSI/Statistics Colloquium Series
Seminar Announcement
A New Statistical Distribution for Modeling Periodic Components in
Pressure-Drop Measurements
Kal Renganathan Sharma
George Mason University
ABSTRACT
A new three-parameter statistical distribution is suggested to
characterize the
periodic component in pressure drop measurements in gas-solid
fluidized beds. The location and number of extremema in the PDF can
be used to delineate different flow regimes such as slugging,
bubbling, and powder types. Experimental data from
pressure drop signals acquired in a transparent fluidized bed was used
in fitting the distribution. Monte
Carlo simulations are used to generate ideal pressure traces for
comparison purposes. The Boltzmann equation is used to study the
bubble coalescence in beds with intermediate-sized particles. The
major parametric dependencies of the coalescence rate and coalescing
time on the body force variables and physical properties are
predcicted. Three different regimes of bubble coalescence can be
predicted.
The new distribution is also applied to tonography of
intraocular pressure, and to nanoparticulate dispersion in
thermoplastic materials.
Friday, October 15, 1999
George W. Johnson Center, Assembly Room D
Seminar at 10:45 a.m.
Refreshments at 10:30 a.m.
For the 1999 Fall Seminar Schedule, go to
http:www.science.gmu.edu/statseminars