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Fluid flow analysis

FLUID FLOW ANALYSIS CALCULATION Industrial Chemical Process Engineering Design Toolkit Chapter Six Run Program J... [Pg.248]

FLUID FLOW ANALYSIS CALCULATION Two Phase Flow, PPE Chapter Six Him Program ... [Pg.252]

In one of our earlier applications, FCS diagnosed unanticipated micelle formation and led to the first development of confocal image microscopy for smaller focal volumes [3]. Recognizing the effective applications of fluorescent marker d mamics to understand cell membrane d mamics, we applied FCS to molecular diffusion on cell membranes, entering thereby into a long series of studies of the dynamics of membrane processes in life, which was at that time a quagmire of conflicting ideas [4]. Later, we also extended FCS theory to fluid flow analysis [9]. It has proven useful for a diversity of ultrafast chemical kinetics as well, c.f. [10-13]. [Pg.108]

Recently a branch of CRE that is mainly focusing on transport phenomena and fluid flow analysis, rather than reaction kinetics, has emerged. By these groups the abbreviation CRE is frequently interpreted as chemical reactor engineering. [Pg.659]

E.M. Sparrow, B. R. Baliga, and S V. Patankar, Heat Transfer and Fluid Flow Analysis of Interrupted-Wall Channels, With Applications to Heat Exchangers, J. Heat Transfer (99) 4-11,1977. [Pg.849]

Oda, M., 1986. An Equivalent Continuum Model for Coupled Stresses and Fluid Flow Analysis in Jointed Rock Masses, Water Resour. Res. 22,... [Pg.130]

Oda, M., 1986. An equivalent continuum model for coupled stress and fluid flow analysis and jointed rock masses. Water Resources Research, V. 22, No. 13, pp. 1845-1856. [Pg.256]

Figured. Outline of stochastic stress and fluid flow analysis for upscaling the srrmll-scale (e.g.. 1.56 m x 1.56 m) stress-permeability relation to a gridblock scale for a large-scale model. Figured. Outline of stochastic stress and fluid flow analysis for upscaling the srrmll-scale (e.g.. 1.56 m x 1.56 m) stress-permeability relation to a gridblock scale for a large-scale model.
The veins are thin-walled tubular structures that may collapse (i.e., the cross-sectional area does not maintain its circular shape and becomes less than in the unstressed geometry) when subjected to negative transmural pressures P (internal minus external pressures). Experimental studies (Moreno et al., 1970) demonstrated that the structural performance of veins is similar to that of thin-walled elastic tubes (Fig. 3.10). Three regions may be identified in a vein subjected to a transmural pressure When P > 0, the tube is inflated, its cross section increases and maintains a circular shape when P < 0, the tube cross section collapses first to an ellipse shape and at a certain negative transmural pressure, a contact is obtained between opposite walls, thereby generating two lumens. Structural analysis of the stability of thin elastic rings and their postbuckling shape (Flaherty et al., 1972), as well as experimental studies (Thiriet et al., 2001) revealed the different complex modes of collapsed cross sections. In order to facilitate at least a one-dimensional fluid flow analysis, it is useful to represent the mechanical characteristics of the vein wall by a tube law relationship that locally correlates between the transmural pressure and the vein cross-sectional area. [Pg.87]

Hoffman, E. J. Unsteady-State Fluid Flow Analysis and Applications in Petroleum Reservoir Behavior. Amsterdam, the Netherlands Elsevier Science, 1999. [Pg.76]

Although elasticity of vessel walls can significantly compHcate fluid flow analysis, biologically it provides important homeostatic benefits. For example, pulsatile blood flow induces accompanying expansions and contractions in healthy elastic-wall vessels. These wall displacements then influence the flow fields. Elastic behavior maintains the norm of laminar flow that minimizes wall stress, lowers flow resistance, and thus energy dissipation and fosters maximum life of the vessel. In combination with pulsatile flow, distensibility permits strain relaxation of the wall tissue with each cardiac cycle, which provides an exercise routine promoting extended on-line use. [Pg.113]

To analyze the airflow pattern, simulation of airflow was carried out using a fluid flow analysis package. Fluent 6.1 [1,6-12]. To solve the three-dimensional airflow field inside the nozzles, a CFD model was developed using the above software. Fluid flow and related phenomena can be described by partial differentiation equations, which caimot be solved analytically except in over-simplified cases. To obtain an approximate solution numerically, a discretization method to approximate the differential equations by a system of algebraic equations, which can be then numerically solved on a computer. The approximations were applied to small domains in space and/or time so the numerical solution provides results at discrete locations in space and time. Much of the accuracy depends on the quality of the methodology used, for which CFD is a powerful tool to predict the flow behavior of fluid inside any object. It provides various parameters such as air velocity profiles (axial, tangential, resultant etc.) and path lines trajectory, which are important for subsequent analysis. It was for those reasons that a CFD package. Fluent 6.1, which uses a Finite Volume (FV) method, was employed for airflow simulation. [Pg.70]

Figure 10.3. Reference control volume for fluid flow analysis [Source Reference 8]. Figure 10.3. Reference control volume for fluid flow analysis [Source Reference 8].
Under normal operating condition, heat transfer from the fuel plate to the coolant occurs by convection phenomena. In case of force convection, the rate of the heat being transferred is proportional to the temperature difference between plate surface and coolant temperature. In most research reactors of MTR type the coolant flow is turbulent that results in an enhancement of the heat transfer. The matter of fluid flow analysis for the reactor core is the determination of flow rate and pressure losses resulting mainly from irreversible process of friction and velocity and height change. [Pg.27]

The matter of fluid flow analysis for the reactor core is the determination of flow rate and pressure losses resulting mainly from irreversible process of friction and velocity and height change. [Pg.27]

In a static system of relatively high viscosity (relative to that of gases), inertial forces due to particle movement are seldom significant that is, viscous forces dominate. In gases, the forces resulting from particle movement become more important and must be considered in a dynamic analysis of the system. In dynamic fluid flow analysis, the ratio of inertial forces (related to particle mass, velocity, size, etc.) to viscous forces (a characteristic of the medium and not the particles) in a system is a dimensionless number termed the Reynolds number. Re, and is used to define the type of flow occurring in the system (i.e., laminar or turbulent). For spherical... [Pg.273]


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