Publication Type : Journal Article
Publisher : Chemical Engineering Science
Source : Chemical Engineering Science, Volume 63, Issue 15, p.3988 - 3997 (2008)
Url : http://www.sciencedirect.com/science/article/pii/S0009250908002492
Keywords : Discretization methods, Modelling and simulation, Multi-dimensional population balance equations, Population balance modelling
Campus : Coimbatore
School : School of Engineering
Department : Chemical
Year : 2008
Abstract : in this work, we show that straight forward extensions of the existing techniques to solve 2-d population balance equations (PBEs) for particle breakup result in very high numerical dispersion, particularly in directions perpendicular to the direction of evolution of population. These extensions also fail to predict formation of particles of uniform composition at steady state for simultaneous breakup and aggregation of particles, starting with particles of both uniform and non-uniform compositions. The straight forward extensions of 1-d techniques preserve 2n properties of non-pivot particles, which are taken to be number, two masses, and product of masses for the solution of 2-d PBEs. Chakraborty and Kumar [2007. A new framework for solution of multidimensional population balance equations. Chemical Engineering Science 62, 4112–4125] have recently proposed a new framework of minimal internal consistency of discretization which requires preservation of only (n+1) properties. In this work, we combine a new radial grid [proposed in 2008. part I, Chemical Engineering Science 63, 2198] with the above framework to solve 2-d PBEs consisting of terms representing breakup of particles. Numerical dispersion with the use of straight forward extensions arises on account of formation of daughter particles of compositions different from that of the parent particles. The proposed technique eliminates numerical dispersion completely with a radial distribution of grid points and preservation of only three properties: number and two masses. The same features also enable it to correctly capture mixing brought about by aggregation of particles. The proposed technique thus emerges as a powerful and flexible technique, naturally suited to simulate PBE based models incorporating simultaneous breakup and aggregation of particles.
Cite this Research Publication : Mahendra Naktuji Nandanwar and Sanjeev Kumar, “A new discretization of space for the solution of multi-dimensional population balance equations: Simultaneous breakup and aggregation of particles”, Chemical Engineering Science, vol. 63, no. 15, pp. 3988 - 3997, 2008.