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Monte agglomeration

Figure 8.25 Monte Carlo simulation of distribution of primary particle residence times (oo size) within MSMPR precipitated agglomerates of 5 and 20 crystals (Hostomsky and Jones, 1993a)... Figure 8.25 Monte Carlo simulation of distribution of primary particle residence times (oo size) within MSMPR precipitated agglomerates of 5 and 20 crystals (Hostomsky and Jones, 1993a)...
As stated above dispersions of hematite particles show some interesting magnetic behaviors. - Chantrell et al. simulated the structure of the agglomerates of magnetic particles, formed in a magnetic fluid in the presence of and in the absence of an external magnetic field, using the Monte Carlo method. [Pg.698]

Transition state searching and kinetic Monte Carlo techniques MULTISCALE COMPUTATIONAL METHODS FOR FLUIDS Dissipative particle dynamics Agglomeration of particles... [Pg.357]

A method of solving many coagulation anti agglomeration problems (Chapter 8) has been developed based on the use of a similarity transformation for the size distribution function (Swift and Fricdlander, 1964 Friedlander and Wang. 1966). Solutions found in this way are asymptotic forms approached after long times, and they are independent of the initial size distribution. Closed-form solutions for the upper and lower ends of the distribution can sometime.s be obtained in this way, and numerical methods can be used to match the solutions for intermediate-size particles. Alternatively, Monte Carlo and discrete sectional methods have been used to find solutions. [Pg.210]

As observed earlier, we will have opportunity to revisit agglomerating populations in Chapter 7 from a considerably deeper perspective than in this section. We shall therefore attend to other interesting aspects of the Monte Carlo simulation method. [Pg.186]

Bapat, P. M., L. L. Tavlarides and G. W. Smith, Monte Carlo Simulation of Mass Transfer in Liquid-Liquid Dispersions, Chem. Eng. Sci., 38, 2003-2013, 1983. Batterham, R. J., J. S. Hall and G. Barton, Pelletizing Kinetics and Simulation of Full Scale Balling Circuits, in Proceedings of the 3rd International Symposium on Agglomeration, Nurenberg, W. Germany, p. A136, 1981. [Pg.192]

Terephthalic acid (TEA), 2,3 diacetoxynaphthalene (2,3-DAN), p-acetoxybenzoic acid (ABA) and the organically modified mont-morillonite and the reactants mixture can be heated in four phases. Initial phases of heating are at 240°C and 260°C respectively under a steady stream of gas. Continuous generation of acetic acid takes place during the progress of condensation. The reaction temperature can be raised further to 280°C and maintained for extended period under reduced pressure. Finally, the temperature can be raised to 290°C and the pressure reduced further. Up to 3% clay content the dispersion is better without any sign of agglomeration [70]. [Pg.298]

Liu HH, Surawanvijit S, Rallo R, Orkoulas G, Cohen Y. Analysis of nanoparticle agglomeration in aqueous suspensions via constant-number Monte Carlo simulation. Environ Sci Technol 2011 45 9284-9292. [Pg.365]


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See also in sourсe #XX -- [ Pg.363 ]




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