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Coagulation dynamics

BROWNIAN COAGULATION DYNAMICS OF DISCRETE DISTRIBUTION FOR AN INITIALLY MONODISPERSE AEROSOL... [Pg.192]

Browiiicm Coagulation Dynamics of Discrete Distribution for an Initially Monodisperse Aerosol 193... [Pg.193]

Brownian Coagulation Dynamics of Discrete Distribution for an Initially Monodisperse Aerosol 192 Brownian Coagulation Effect of Particle Force Fields 196 Effect of van der Waals Forces 197 Effect of Coulomb Forces 200 Collision Frequency for Laminar Shear 200 Simultaneous Laminar Shear and Brownian Motion 202 Turbulent Coagulation 204... [Pg.419]

Aerosol Dynamics. Inclusion of a description of aerosol dynamics within air quaUty models is of primary importance because of the health effects associated with fine particles in the atmosphere, visibiUty deterioration, and the acid deposition problem. Aerosol dynamics differ markedly from gaseous pollutant dynamics in that particles come in a continuous distribution of sizes and can coagulate, evaporate, grow in size by condensation, be formed by nucleation, or be deposited by sedimentation. Furthermore, the species mass concentration alone does not fliUy characterize the aerosol. The particle size distribution, which changes as a function of time, and size-dependent composition determine the fate of particulate air pollutants and their... [Pg.382]

Simulation of aerosol processes within an air quaUty model begins with the fundamental equation of aerosol dynamics which describes aerosol transport (term 2), growth (term 3), coagulation (terms 4 and 5), and sedimentation (term 6) ... [Pg.383]

This paper presents the physical mechanism and the structure of a comprehensive dynamic Emulsion Polymerization Model (EPM). EPM combines the theory of coagulative nucleation of homogeneously nucleated precursors with detailed species material and energy balances to calculate the time evolution of the concentration, size, and colloidal characteristics of latex particles, the monomer conversions, the copolymer composition, and molecular weight in an emulsion system. The capabilities of EPM are demonstrated by comparisons of its predictions with experimental data from the literature covering styrene and styrene/methyl methacrylate polymerizations. EPM can successfully simulate continuous and batch reactors over a wide range of initiator and added surfactant concentrations. [Pg.360]

A dynamic ordinary differential equation was written for the number concentration of particles in the reactor. In the development of EPM, we have assumed that the size dependence of the coagulation rate coefficients can be ignored above a certain maximum size, which should be chosen sufficiently large so as not to affect the final result. If the particle size distribution is desired, the particle number balance would have to be a partial differential equation in volume and time as shown by other investigators ( ). [Pg.365]

Number of k-fold Precursor Particles. Dynamic differential equations were written for the concentration of the k-fold precursors to account for birth and death by coagulation, growth by propagation, and the formation of primary precursors by homogeneous nucleation. There... [Pg.365]

Dynamic Rheological Properties of the Reconstituted Milks During the Coagulation Kinetics... [Pg.278]

Annexins Phospholipid- and membrane-binding proteins involved in the regulation of cell growth, coagulation, mediation of secretion, signal transduction, and ion channel activity link signaling to membrane dynamics... [Pg.290]

The dynamics of particles, especially the role of particle-particle interactions (coagulation) is critically assessed. The effects of particle surfaces on the catalysis of... [Pg.436]

A different approach which also starts from the characteristics of the emissions is able to deal with some of these difficulties. Aerosol properties can be described by means of distribution functions with respect to particle size and chemical composition. The distribution functions change with time and space as a result of various atmospheric processes, and the dynamics of the aerosol can be described mathematically by certain equations which take into account particle growth, coagulation and sedimentation (1, Chap. 10). These equations can be solved if the wind field, particle deposition velocity and rates of gas-to-particle conversion are known, to predict the properties of the aerosol downwind from emission sources. This approach is known as dispersion modeling. [Pg.3]

Kretzschmar, R., Hoi.thoff, H. Sticher, H. 1998. Influence of pH and humic acid on coagulation kinetics of kaolinite A dynamic light scattering study. Journal of Colloid and Interface Science, 202, 95-103. [Pg.542]

Exact solution of one-dimensional reversible coagulation reaction A+A A was presented in [108, 109] (see also Section 6.5). In these studies a dynamical phase transition of the second order was discovered, using both continuum and discrete formalisms. This shows that the relaxation time of particle concentrations on the equilibrium level depends on the initial concentration, if the system starts from the concentration smaller than some critical value, and is independent of the tia(0) otherwise. [Pg.295]

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See also in sourсe #XX -- [ Pg.204 ]



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