51 |
Viscous attenuation of sound propagating through gases contained in capillary tubesNeusen, Kenneth Fred, January 1970 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1970. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.
|
52 |
(1) Comparison of the fall of a droplet in a liquid and in a gas. : (2) The fall of mercury droplets in a viscous medium ... /Silvey, Oscar William, January 1916 (has links)
Thesis (Ph. D.)--University of Chicago, 1915. / "Reprinted from the Physical Review, N.S., Vol. VII, no. 1, January, 1916. Includes bibliographical references. Also available on the Internet.
|
53 |
Effect of chain-branching on the prediction of liquid mixture viscosities by a group solution modelTsang, William Kuen Wai January 1976 (has links)
No description available.
|
54 |
Similar and non-similar solutions of the fully viscous flow in slender channels /Huang, Chi-Pong January 1969 (has links)
No description available.
|
55 |
Variable viscosity arterial blood flow: its nature and stabilityMfumadi, Komane Boldwin January 2008 (has links)
Thesis (M.Sc. (Applied Mathematics)) -- University of Limpopo, 2008 / Understanding the effects of blood viscosity variation plays a very crucial role in hemodynamics, thrombosis and inflammation and could provide useful information for diagnostics and therapy of (cardio) vascular diseases. Blood viscosity, which arises from frictional interactions between all major blood constituents, i.e. plasma, plasma proteins and red blood cells, constitutes blood inherent resistance to flow in the blood vessel. Generally, blood viscosity in large arteries is lower near the vessel wall due to the presence of plasma layer in this peripheral region than the viscosity in the central core region which depends on the hematocrit.
In this dissertation, the flow of blood in a large artery is investigated theoretically using the fluid dynamics equations of continuity and momentum. Treating artery as a rigid channel with uniform width and blood as a variable viscosity incompressible Newtonian fluid, the basic flow structure and its stability to small disturbances are examined. A fourth-order eigenvalue problem which reduces to the well known Orr–Sommerfeld equation in some limiting cases is obtained and solved numerically by a spectral collocation technique with expansions in Chebyshev polynomials implemented in MATLAB. Graphical results for the basic flow axial velocity, disturbance growth rate and marginal stability curve are presented and discussed. It is worth pointing out that, a decrease in plasma viscosity near the arterial wall has a stabilizing effect on the flow.
|
56 |
The effective approach for predicting viscosity of saturated and undersaturated reservoir oilKulchanyavivat, Sawin 12 April 2006 (has links)
Predicting reservoir oil viscosity with numerical correlation equations using
field-measured variables is widely used in the petroleum industry. Most published
correlation equations, however, have never profoundly realized the genuine relationship
between the reservoir oil viscosity and other field-measured parameters. Using the
proposed systematic strategy is an effective solution for achieving a high performance
correlation equation of reservoir oil viscosity.
The proposed strategy begins with creating a large database of pressure-volumetemperature
(PVT) reports and screening all possible erroneous data. The relationship
between the oil viscosity and other field-measured parameters is intensively analyzed by
using theoretical and empirical approaches to determine the influential parameters for
correlating reservoir oil viscosity equations. The alternating conditional expectation
(ACE) algorithm is applied for correlating saturated and undersaturated oil viscosity
equations. The precision of field-measured PVT data is inspected by a data
reconciliation technique in order to clarify the correctness of oil viscosity correlations.
Finally, the performance of the proposed oil viscosity correlation equations is
represented in terms of statistical error analysis functions.
The result of this study shows that reservoir oil density turns out to be the most
effective parameter for correlating both saturated and undersaturated reservoir oil
viscosity equations. Expected errors in laboratory-measured oil viscosity are the main
factors that degrade the efficiency of oil viscosity correlation equations. The proposed
correlation equations provide a reasonable estimate of reservoir oil viscosity; and their
superior performance is more reliable than that of published correlation equations at any
reservoir conditions.
|
57 |
Extensional flow of polymer solutionsCarrington, Stephen Paul January 1995 (has links)
No description available.
|
58 |
The viscosity of gaseous mixturesHunter, Ian Norman January 1989 (has links)
No description available.
|
59 |
Deformability of human red blood cell ghostsAl-Gailani, Bassam Talib January 1989 (has links)
No description available.
|
60 |
Chebyshev series method for piezoviscous elastohydrodynamic lubricationMyers, Timothy Gerard January 1990 (has links)
No description available.
|
Page generated in 0.0147 seconds