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http://hdl.handle.net/10397/94462
Title: | Lagrangian particle tracking with new weighted fraction Monte Carlo method for studying the soot particle size distributions in premixed flames | Authors: | Jiang, X Chan, TL |
Issue Date: | 16-May-2022 | Source: | International journal of numerical methods for heat and fluid flow, 16 May 2022, v. 32, no. 6, p. 1961-1998 | Abstract: | Purpose - The purpose of this paper is to study the soot formation and evolution by using this newly developed Lagrangian particle tracking with weighted fraction Monte Carlo (LPT-WFMC) method. Design/methodology/approach - The weighted soot particles are used in this MC framework and is tracked using Lagrangian approach. A detailed soot model based on the LPT-WFMC method is used to study the soot formation and evolution in ethylene laminar premixed flames. Findings - The LPT-WFMC method is validated by both experimental and numerical results of the direct simulation Monte Carlo (DSMC) and Multi-Monte Carlo (MMC) methods. Compared with DSMC and MMC methods, the stochastic error analysis shows this new LPT-WFMC method could further extend the particle size distributions (PSDs) and improve the accuracy for predicting soot PSDs at larger particle size regime. Originality/value - Compared with conventional weighted particle schemes, the weight distributions in LPT-WFMC method are adjustable by adopting different fraction functions. As a result, the number of numerical soot particles in each size interval could be also adjustable. The stochastic error of PSDs in larger particle size regime can also be minimized by increasing the number of numerical soot particles at larger size interval. |
Keywords: | Lagrangian particle tracking Weighted fraction Monte-Carlo method Detailed soot model Particle size distribution Stochastic error analysis |
Publisher: | Emerald Group Publishing Limited | Journal: | International journal of numerical methods for heat and fluid flow | EISSN: | 0961-5539 | DOI: | 10.1108/HFF-04-2021-0247 | Rights: | © Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher. The following publication Jiang, X. and Chan, T.L. (2022), "Lagrangian particle tracking with new weighted fraction Monte Carlo method for studying the soot particle size distributions in premixed flames", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 32 No. 6, pp. 1961-1998 is published by Emerald and is available at https://dx.doi.org/10.1108/HFF-04-2021-0247 |
Appears in Collections: | Journal/Magazine Article |
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Jiang_Lagrangian_Monte_Carlo.pdf | Pre-Published version | 2.87 MB | Adobe PDF | View/Open |
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