Studies on population balance equation involving aggregation and growth terms via symmetries

Author(s):  
Zehra Pinar

Abstract The population balance equation (PBE) is one of the most popular integro-differential equations modeled for several industrial processes. The solution to this equation is usually solved using a numerical approach as the analytical solutions of such equations are not obtained easily. Typically, the available analytical solutions are limited and are based on momentous Laplace transform. In this study, the reduced equations of the PBE are obtained via the group analysis method. Two particulate cases involving aggregation, growth and nucleation are selected, the determining equations are solved and the reduced equations are solved via approximate methods. The approximate method involves the target solution of the nonlinear evolution equation, here the PBE, to be expressed as a polynomial in an elementary function which satisfies a particular ordinary differential equation termed as an auxiliary equation.

Author(s):  
Zehra Pınar ◽  
Abhishek Dutta ◽  
Mohammed Kassemi ◽  
Turgut Öziş

AbstractThis study presents a novel analytical solution for the Population Balance Equation (PBE) involving particulate aggregation and breakage by making use of the appropriate solution(s) of the associated complementary equation of a nonlinear PBE via Fibonacci and Lucas Approximation Method (FLAM). In a previously related study, travelling wave solutions of the complementary equation of the PBE using Auxiliary Equation Method (AEM) with sixth order nonlinearity was taken to be analogous to the description of the dynamic behavior of the particulate processes. However, in this study, the class of auxiliary equations is extended to Fibonacci and Lucas type equations with given transformations to solve the PBE. As a proof-of-concept for the novel approach, the general case when the number of particles varies with respect to time is chosen. Three cases i. e. balanced aggregation and breakage and when either aggregation or breakage can dominate are selected and solved for their corresponding analytical solution and compared with the available analytical approaches. The solution obtained using FLAM is found to be closer to the exact solution and requiring lesser parameters compared to the AEM and thereby being a more robust and reliable framework.


2020 ◽  
Vol 135 ◽  
pp. 106741
Author(s):  
Mohamed Ali Jama ◽  
Wenli Zhao ◽  
Waqar Ahmad ◽  
Antonio Buffo ◽  
Ville Alopaeus

Particuology ◽  
2015 ◽  
Vol 18 ◽  
pp. 194-200 ◽  
Author(s):  
Mingzhou Yu ◽  
Jianzhong Lin ◽  
Junji Cao ◽  
Martin Seipenbusch

2020 ◽  
Author(s):  
Rekha Rao ◽  
Lisa Mondy ◽  
Weston Ortiz ◽  
Christine Roberts ◽  
Melissa Soehnel

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