Parallelization methods for efficient simulation of high dimensional population balance models of granulation

Bettencourt, Franklin E.; Chaturbedi, Anik; Ramachandran, Rohit

doi:10.1016/j.compchemeng.2017.02.043

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…Recently, an effort has been made to parallelize different PBE solution methods . In the particle dynamic field, GPU‐accelerations are concentrated in Monte Carlo methods due to their high parallelism efficiency .…”

Section: Introductionmentioning

confidence: 99%

“…Recently, an effort has been made to parallelize different PBE solution methods. [40][41][42][43] In the particle dynamic field, GPU-accelerations are concentrated in Monte Carlo methods due to their high parallelism efficiency. [42][43][44] However, this type of methodology is hardly applicable to CFD simulations due to its high computational cost even in its parallel form.…”

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confidence: 99%

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GPU‐accelerated simulation of polydisperse multiphase flows using dual‐quadrature‐based moment methods

et al. 2020

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Polydisperse multiphase flows can be simulated by coupling a population balance model to the multi-fluid model. For the first time, this simulation is carried out using the dual-quadrature method of generalized moments (DuQMoGeM) and its direct version to solve the population balance model. The main disadvantage of these methods is the high computational cost of the embedded cubature. Herein, this challenge was addressed by parallelization on graphics processing units, which resulted in a significant acceleration of the simulations, with speedups that can be larger than 1000. Numerical simulations considering simultaneous particles breakage and aggregation were conducted with direct DuQMoGeM-FC and DQMoM-FC, whose results were different due to the existence of quadrature error in the latter. K E Y W O R D S moment methods, multiphase flow, particulate systems, population balance

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%