Abstract
Self-similar behavior for the multicomponent coagulation system is investigated analytically in this paper. Asymptotic self-similar solutions for the constant kernel, sum kernel, and product kernel are achieved by introduction of different generating functions. In these solutions, two size-scale variables are introduced to characterize the asymptotic distribution of total mass and individual masses. The result of product kernel (gelling kernel) is consistent with the Vigli-Ziff conjecture to some extent. Furthermore, the steady-state solution with injection for the constant kernel is obtained, which is again the product of a normal distribution and the scaling solution for the single variable coagulation.
Similar content being viewed by others
References
Smoluchowski, M. V. Drei vortrage uber diffusion, brownsche molekular bewegung und koagulation von kolloidteilchen. Zeitschrift für Physik, 17, 557–585 (1916)
Friedlander, S. K. Smoke, Dust and Haze: Fundamentals of Aerosol Dynamics, Oxford University Press, Oxford (2000)
Silk, J. and White, S. D. The development of structure in the expanding universe. Astrophysical Journal, 223, 59–62 (1978)
Ziff, R. M. Kinetics of polymerization. Journal of Statistical Physics, 23, 241–263 (1980)
Niwa, H. S. School size statistics of fish. Journal of Theoretical Biology, 195, 351–361 (1998)
Kiorboe, T. Formation and fate of marine snow: small-scale processes with large-scale implications. Scientia Marina, 66, 67–71 (2001)
Yu, F. G. and Turko, R. P. From molecular clusters to nanoparticles: role of ambient ionization in tropospheric aerosol formation. Journal of Geophysical Research: Atmospheres, 106, 4797–4814 (2001)
Zhao, H., Kruis, F. E., and Zheng, C. Monte Carlo simulation for aggregative mixing of nanoparticles in two-component systems. Industrial & Engineering Chemistry Research, 50, 10652–10664 (2011)
Matsoukas, T., Lee, K., and Kim, T. Mixing of components in two-component aggregation. AIChE Journal, 52, 3088–3099 (2006)
Van Dongen, P. G. J. and Ernst, M. H. Scaling solutions of Smoluchowski’s coagulation equation. Journal of Statistical Physics, 50, 295–329 (1988)
Leyvraz, F. Scaling theory and exactly solved models in the kinetics of irreversible aggregation. Physics Report, 383, 59–219 (2006)
Lushnikov, A. A. Evolution of coagulating systems 3: coagulating mixtures. Journal of Colloid and Interface Science, 54, 94–100 (1976)
Krapivsky, P. L. and Ben-Naim, E. Aggregation with multiple conservation laws. Physical Review E, 53, 291–298 (1996)
Vigil, R. D. and Ziff, R. M. On the scaling theory of two-component aggregation. Chemical Engineering Science, 53, 1725–1729 (1998)
Fernandez-Diaz, J. M. and Gomez-Garcia, G. J. Exact solution of Smoluchowski’s continuous multicomponent equation with an additive kernel. Europhysics Letter, 78, 56002 (2007)
Fernandez-Diaz, J. M. and Gomez-Garcia, G. J. Exact solution of a coagulation equation with a product kernel in the multicomponent case. Physics D, 239, 279–290 (2010)
Lushnikov, A. A. and Kulmala, M. Singular self-preserving regimes of coagulation processes. Physical Review E, 65, 1–12 (2002)
Davies, S. C., King, J. R., and Wattis, J. A. D. The Smoluchowski coagulation equation with continuous injection. Journal of Physics A: Mathematical General, 32, 7745–7763 (1999)
Chanuhan, S. S., Chakroborty, J., and Kumar, S. On the solution and applicability of bivariate population balance wquations for mixing in particle phase. Chemical Engineering Science, 65, 3914 (2010)
Marshall, C. L., Rajniak, P., and Matsoukas, T. Numerical simulations of two-component granulation: comparison of three methods. Chemical Engineering Research and Design, 89, 545–552 (2010)
Lin, Y., Lee, K., and Matsoukas, T. Solution of the population balance equation using constant-number Monte Carlo. Chemical Engineering Science, 57, 2241 (2002)
Zhao, H., Kruis, F. E., and Zheng, C. A differentially weighted Monte Carlo methods for two-component caogulation. Journal of Computational Physics, 229, 6931–6945 (2010)
Dabies, S. C., King, J. R., and Wattis, J. A. D. Self-similar behavior in the coagulation equations. Journal of Engineering Mathematics, 36, 57–88 (1999)
Author information
Authors and Affiliations
Corresponding author
Additional information
Project supported by the National Natural Science Foundation of China (Nos. 11272196 and 11222222) and the Zhejiang Association of Science and Technology of Soft Science Research Project (No. ZJKX14C-34)
Rights and permissions
About this article
Cite this article
Yang, Ml., Lu, Zm. & Liu, Yl. Self-similar behavior for multicomponent coagulation. Appl. Math. Mech.-Engl. Ed. 35, 1353–1360 (2014). https://doi.org/10.1007/s10483-014-1872-7
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10483-014-1872-7