INTERNATIONAL EXPERIENCE
Pages: 62-84
UDC 69.001.5
Quasi-homogenous approximation for description of the properties of dispersed systems. The basic approaches to model hardening processes in nanodispersed silica systems. Part 2. The hardening processes from the standpoint of statistical physics
Authors: KUDRYAVTSEV Pavel Gennadievich, D.Sc., Professor of HIT (Israel), Academician of International Academy of Sciences for Ecology and Human Safety and Russian Academy of Natural Sciences, author of more than 150 publications including «Nanomaterials based on soluble silicates» (in cooperation with O.Figovsky) and 30 inventions; 52 Golomb Street, POB 305 Holon 5810201, Израиль, 23100, e-mail: pgkudr89@gmail.com;
FIGOVSKY Oleg Lvovich, Full Member of European Academy of Sciences, Foreign Member of REA and RAASN, Editor-in-Chief of Journals SITA (Israel), OCJ and ICMS (USA), Director R&D of INRC Polymate (Israel) and Nanotech Industries, Inc. (USA); Chairman of the UNESCO chair «Green Chemistry»; President of Israel Association of Inventors; Laureate of the Golden Angel Prize, Polymate INRC; P.O.Box 73, Migdal Ha’Emeq, Израиль, 10550, e-mail: figovsky@gmail.com
Extended Abstract: The paper deals with possibilities to use quasi-homogenous approximation for discription of properties of dispersed systems. The authors applied statistical polymer ethod based on consideration of average structures of all possible macromolecules of the same weight. The equiations which allow evaluating many additive parameters of macromolecules and the systems with them were deduced. Statistical polymer method makes it possible to model branched, cross-linked macromolecules and the systems with them which are in equilibrium or non-equilibrium state. Fractal analysis of statistical polymer allows modeling different types of random fractal and other objects examined with the mehods of fractal theory. The method of fractal polymer can be also applied not only to polymers but also to composites, gels, associates in polar liquids and other packaged systems. There is also a description of the states of colloid solutions of silica oxide from the point of view of statistical physics. This approach is based on the idea that colloid solution of silica dioxide – sol of silica dioxide – consists of enormous number of interacting particles which are always in move. The paper is devoted to the research
of ideal system of colliding but not interacting particles of sol. The analysis of behavior of silica
sol was performed according to distribution Maxwell-Boltzmann and free path length was calculated. Using this data the number of the particles which can overcome the potential barrier in collision was calculated. To model kinetics of sol-gel transition different approaches were studied.
Key words: quasi-homogenous approximation, dispersed systems, statistic polymer method, formation of crosslinkings, fractal method, colloid solution, silica, sol-gel transition, free path length.
DOI: dx.doi.org/10.15828/2075-8545-2015-7-2-62-84
References:
- Kudryavtsev P., Figovsky O. Nanomaterials based on soluble silicates, ISBN 978-3-
659-63556-4, LAP Lambert Academic Publishing, 2014, 241 p.
- Kudryavtsev P., Figovsky O. Nanomaterialy na osnove rastvorimyh silikatov
[Nanomaterials based on soluble silicates], ISBN 978-3-659-58361-2, LAP Lambert
Academic Publishing, 2014, 155 p. (In Russian).
- Morachevskij A.P. Fizicheskaja himija – poverhnostnye javlenija i dispersnye
sistemy [Physical chemistry – surface phenomena and dispersed systems], Saint-
Petersburg, 2011. (In Russian).
- Lao L., Orsinger E. Hyperbolic and fractional hyperbolic Brownian motion, Stochastics:
An International Journal of Probablty and Stochastics Processes, p. 505–522, 2007.
- Bondarev B.V., Kalashnikov N.P., Spirin G.G. Kurs obshhej fiziki: v 3 kn. Kniga 3.
Statisticheskaja fizika. [Course of general physics: in 3 volumes. Volume 3. Statistical
physics. Substance structure]. Moscow, Jurajt, 2013, 369 p.
- Lifshic E.M., Pitaevskij L.P. Statisticheskaja fizika. Chast’ 2. Teorija kondensirovannogo
sostojanija. («Teoreticheskaja fizika», tom IX) [Statistical physics.
Part 2. The theory of condensed state. («Theoretical physics», volume IX). Moscow,
Fizmatlit, 2004, 496 p.
- Schmidt M. Simulations of Systems with Colloidal Particles, in: Simulations of
Systems with Colloidal Particles, ISBN: 0-8247-0323-5, edited by Borowko M.,
New York, Basel, Marcel Dekker, inc., 2000, pp. 745–773.
- Segrè P.N., Behrend O.P., Pusey P.N. Short-time Brownian motion in colloidal
suspensions: Experiment and simulation, PhysRevE., 1995, Vol. 52 5,
- 507005083, Doi: 10.1103/PhysRevE.52.5070, http://link.aps.org/doi/10.1103/
PhysRevE.52.5070.
- Sanyal Subrata, Sood Ajay K. Brownian dynamics simulation of dense binary colloidal
mixtures. I. Structural evolution and dynamics, Phys. Rev. E, Vol. 52, 4,
- 4154–4167, 1995, doi: 10.1103/PhysRevE.52.4154, http://link.aps.org/
doi/10.1103/PhysRevE.52.4154.
- Sanyal Subrata, Sood Ajay K. Brownian dynamics simulation of dense binary colloidal
mixtures. II. Translational and bond-orientational order, Phys. Rev. E,
Vol. 52, 4, pp. 4168–4178, 1995, doi: 10.1103/PhysRevE.52.4168, http://link.
aps.org/doi/10.1103/PhysRevE.52.4168.
- Lowe C.P., Frenkel D. Short-time dynamics of colloidal suspensions, Phys. Rev. E,
Vol. 54, 3, pp. 2704–2713, 1996, doi: 10.1103/PhysRevE.54.2704, http://link.
aps.org/doi/10.1103/PhysRevE. 54.2704.
- Hagen M.H.J., Pagonabarraga I., Lowe C.P., Frenkel D. Algebraic Decay of Velocity
Fluctuations in a Confined Fluid, Phys. Rev. Lett., Vol. 78, 19, pp. 3785–3788,
1997, doi: 10.1103/PhysRevLett.78.3785, http://link.aps.org/doi/10.1103/
PhysRevLett.78.3785.
- Groot R.D., Warren P.B. Dissipative particle dynamics: Bridging the gap between
atomistic and mesoscopic simulation, J. Chem. Phys. Vol. 107, 10, p. 4423, 1997,
http://dx.doi.org/10.1063/ 1.474784.
- Oberholzer M.R., Wagner N.J., Lenhoff A.M. Grand canonical Brownian dynamics
simulation of colloidal adsorption, J. Chem. Phys. 107, 9157 (1997); http://
dx.doi.org/10.1063/1.475207.
- Zahn K., Méndez-Alcaraz J.M., Maret G. Hydrodynamic Interactions May Enhance
the Self-Diffusion of Colloidal Particles, Phys. Rev. Lett., Vol. 79, 1, pp. 175–
178, 1997, doi: 10.1103/PhysRevLett.79.175, http://link.aps.org/doi/10.1103/
PhysRevLett.79.175.
- Sunil Kumar P. B., Rao M. Novel Monte Carlo Approach to the Dynamics of Fluids:
Single-Particle Diffusion, Correlation Functions, and Phase Ordering of Binary
Fluids, Phys. Rev. Lett., Vol. 77, 6, pp. 1067–1070, 1996, doi: 10.1103/PhysRev-
Lett.77.1067, http://link.aps.org/doi/10.1103/PhysRevLett.77.1067.
- Laradji M. Toxvaerd S., Mouritsen O.G. Molecular Dynamics Simulation of Spinodal
Decomposition in Three-Dimensional Binary Fluids, Phys. Rev. Lett., Vol. 77,
11, pp. 2253–2256, 1996, doi: 10.1103/PhysRevLett.77.2253, http://link.aps.
org/doi/10.1103/PhysRevLett.77.2253.
- Löwen H. Brownian dynamics of hard spherocylinders, Phys. Rev. E, Vol. 50, 2,
- 1232–1242, 1994, doi: 10.1103/PhysRevE.50.1232, http://link.aps.org/
doi/10.1103/PhysRevE.50.1232.
- Löwen H. Anisotropic self-diffusion in colloidal nematic phases, Phys. Rev. E,
Vol. 59, 2, pp. 1989–1995, 1999, doi: 10.1103/PhysRevE.59.1989, http://link.
aps.org/doi/10.1103/PhysRevE.59.1989.
- Kirchhoff Th., Löwen H., Klein R. Dynamical correlations in suspensions of
charged rodlike macromolecules, Phys. Rev. E, Vol. 53, 5, pp. 5011–5022,
1996, doi: 10.1103/PhysRevE.53.5011, http://link.aps.org/doi/10.1103/Phys-
RevE.53.5011.
- Romm F., Figovsky O. Statistical polymer method: Modeling of macromolecules
and aggregates with branching and crosslinking, formed in random processes,
Discrete Dynamics in Nature and Society Volume 2 (1998), Issue 3, P. 203–208,
http://dx.doi.org/10.1155/S1026022698000181.
- Romm F., Figovsky O. Modeling of Mechanical Properties of Polymeric Systems
with Branching/Crosslinking, Particularly Their Mechanical Resistence and Stability.
Macromolecular Theory and Simulations Volume 11, Issue 1, pp. 93–101,
January 2002.
- Romm F., Karchevsky V., Figovsky O. Combined monte carlo/thermodynamic
model of formation of microporous aggregate structure like silica
from quaternary ammonium silicate solutions. Journal of Surfactants and
Detergents(IF 1.515), 2000, Vol.3 (4), pp. 475–481, Springer. http://onlinelibrary.
wiley.com/doi/10.1002/1521-3919%2820020101%2911:1%3C93::AIDMATS93%
3E3.0.CO;2-F/abstract.
- Ponomarenko A.T., Figovsky O., Shevchenko V.G. Multifunctional Polymer Composites
for «Intellectual» Structures: Present State, Problems, Future. Journal
Advanced Materials Research, 2008, Vol.740 (47), pp.81-84, Trans Tech.
- Figovsky O.L., Beilin D.A., Ponomarev A.N. Successful implementation of nanotechnologies
in building materials. Nanotehnologii v stroitel’stve = Nanotechnologies
in Construction. 2012, Vol. 4, no. 3, pp. 6–21. Available at: http://nanobuild.ru/
en_EN/. (In Russian).
- Kudryavtsev P.G., Figovsky O.L. Nanostructured materials, production and application
in construction. Nanotehnologii v stroitel’stve = Nanotechnologies in Construction.
2014, Vol. 6, no. 6, pp. 27–45. DOI: dx.doi.org/10.15828/2075-8545-
2014-6-6-27-45.
- Kudryavtsev P., Figovsky O. Quasi-homogenous approximation for description
of the properties of dispersed systems. The basic approaches to model hardening
processes in nanodispersed silica systems. Nanotehnologii v stroitel’stve =
Nanotechnologies in Construction. 2015, Vol. 7, no. 1, pp. 29–54. DOI: dx.doi.
org/10.15828/2075-8545-2015-7-1-29-54.
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