Simultaneous coagulation and break-up using constant-N Monte Carlo

Kangtaek Lee; Themis Matsoukas

doi:10.1016/S0032-5910(99)00270-3

Simultaneous coagulation and break-up using constant-N Monte Carlo

Kangtaek Lee, Themis Matsoukas

Department of Chemical and Biomolecular Engineering

Research output: Contribution to journal › Article › peer-review

136 Citations (Scopus)

Abstract

We present a new Monte Carlo method for solving the population balance with multiple growth processes. The method samples a constant number of particles regardless of whether the actual growth process results in increase or decrease of the particle concentration. By decoupling the size of the simulated sample from the concentration of the actual system we achieve constant accuracy throughout the simulation. We apply this method to coagulation with simultaneous binary break-up. We examine the results for three cases with analytical solutions and show that the constant-N method yields accurate results. Copyright (C) 2000 Elsevier Science S.A.

Original language	English
Pages (from-to)	82-89
Number of pages	8
Journal	Powder Technology
Volume	110
Issue number	1-2
DOIs	https://doi.org/10.1016/S0032-5910(99)00270-3
Publication status	Published - 2000 May 1

Bibliographical note

Funding Information:
Financial support from the National Science Foundation NSF under grant CTS#9702653 and by Air Products and Chemicals Inc. as well as Computing hardware Support through the IBM SUR 1998/99 grant are gratefully acknowledged.

All Science Journal Classification (ASJC) codes

General Chemical Engineering

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10.1016/S0032-5910(99)00270-3

Cite this

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abstract = "We present a new Monte Carlo method for solving the population balance with multiple growth processes. The method samples a constant number of particles regardless of whether the actual growth process results in increase or decrease of the particle concentration. By decoupling the size of the simulated sample from the concentration of the actual system we achieve constant accuracy throughout the simulation. We apply this method to coagulation with simultaneous binary break-up. We examine the results for three cases with analytical solutions and show that the constant-N method yields accurate results. Copyright (C) 2000 Elsevier Science S.A.",

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AU - Lee, Kangtaek

AU - Matsoukas, Themis

N1 - Funding Information: Financial support from the National Science Foundation NSF under grant CTS#9702653 and by Air Products and Chemicals Inc. as well as Computing hardware Support through the IBM SUR 1998/99 grant are gratefully acknowledged.

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Y1 - 2000/5/1

N2 - We present a new Monte Carlo method for solving the population balance with multiple growth processes. The method samples a constant number of particles regardless of whether the actual growth process results in increase or decrease of the particle concentration. By decoupling the size of the simulated sample from the concentration of the actual system we achieve constant accuracy throughout the simulation. We apply this method to coagulation with simultaneous binary break-up. We examine the results for three cases with analytical solutions and show that the constant-N method yields accurate results. Copyright (C) 2000 Elsevier Science S.A.

AB - We present a new Monte Carlo method for solving the population balance with multiple growth processes. The method samples a constant number of particles regardless of whether the actual growth process results in increase or decrease of the particle concentration. By decoupling the size of the simulated sample from the concentration of the actual system we achieve constant accuracy throughout the simulation. We apply this method to coagulation with simultaneous binary break-up. We examine the results for three cases with analytical solutions and show that the constant-N method yields accurate results. Copyright (C) 2000 Elsevier Science S.A.

KW - Agglomeration

KW - Break-up

KW - Monte Carlo simulation

KW - Particle growth

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JO - Powder Technology

JF - Powder Technology

IS - 1-2

ER -

Simultaneous coagulation and break-up using constant-N Monte Carlo

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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