The ROM employs a reactor network model (RNM) that approximates fluid mixing and recirculation using a series of idealized chemical reactors; well-stirred reactors and 1-D plug flow reactors.
As α increases, the slurry behaves as an approximate Newtonian fluid, and then turns to a dilatant fluid, which exhibits shear-thickening behavior.
As α decreases, the slurry behaves first as an approximate Newtonian fluid, and then turns into a pseudo-plastic fluid that exhibits shear-thinning behavior.
When more petroleum coke was added, the PCLSs (when α > 70%%) exhibited the rheological characteristics of an approximate Newtonian fluid (n = 1).
Maybe that's why, as publishers flood the market with McMillan clones eager to mine the sisterhood mother lode, the covers of so many books by young African American women try their best to approximate Saint James' fluid mosaics.
In this study, the application of a dynamic neural network for this purpose is investigated, where a Layered Digital Dynamic Neural (LDDN) type network is trained using experimental data to approximate the outlet fluid temperature of a latent heat storage system given inlet fluid temperature and mass flow rate.
The operating characteristics and design configuration of a mixing system are established on the basis of the required energy expenditure to create or approximate a homogeneous fluid system.
Modeling of a fissure network is conventionally done using a dual porosity dual permeability model, but this type of model involves large-scale approximate description of fluid transfers between the matrix and fissure.
The UFR was maintained at 300 mL/hr to approximate the net fluid removal of one liter, to simulate a typical hemodialysis prescription, and to minimize convective solute clearance.
The model fluid approximates process fluids that have high loads of submicron particles (such as cell debris and agglomerated proteins), as found in cell culture harvests.
