Technical Report 198, c4e-Preprint Series, Cambridge
Bivariate extension of the moment projection method for the particle population balance dynamics
Reference: Technical Report 198, c4e-Preprint Series, Cambridge, 2018
- A bivariate moment projection method (BVMPM) for solving the two-dimensional population balance equation is developed.
- A two-dimensional Blumstein-Wheeler algorithm is proposed to track the number of the smallest particles.
- BVMPM is shown to be of high accuracy for modelling particle processes including inception, growth, shrinkage, coagulation and fragmentation.
This work presents a bivariate extension of the moment projection method (BVMPM) for solving the two-dimensional population balance equations involving particle inception, growth, shrinkage, coagulation and fragmentation. A two-dimensional Blumstein and Wheeler algorithm is proposed to generate a set of weighted particles that approximate the number density function. With this algorithm, the number of the smallest particles can be directly tracked, closing the shrinkage and fragmentation moment source terms. The performance of BVMPM has been tested against the hybrid method of moments (HMOM) and the stochastic method. Results suggest that BVMPM can achieve higher accuracy than HMOM in treating shrinkage and fragmentation processes where the number of the smallest particles plays an important role.
Material from this preprint has been published in Computers & Chemical Engineering.
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