Extension of moment projection method to the fragmentation process
The method of moments is a simple but efficient method of solving the population balance equation which describes particle dynamics. Recently, the moment projection method (MPM) was proposed and validated for particle inception, coagulation, growth and, more importantly, shrinkage; here the method i...
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sg-ntu-dr.10356-880182023-12-29T06:48:56Z Extension of moment projection method to the fragmentation process Wu, Shaohua Yapp, Edward K. Y. Akroyd, Jethro Mosbach, Sebastian Xu, Rong Yang, Wenming Kraft, Markus School of Chemical and Biomedical Engineering Fragmentation Breakage The method of moments is a simple but efficient method of solving the population balance equation which describes particle dynamics. Recently, the moment projection method (MPM) was proposed and validated for particle inception, coagulation, growth and, more importantly, shrinkage; here the method is extended to include the fragmentation process. The performance of MPM is tested for 13 different test cases for different fragmentation kernels, fragment distribution functions and initial conditions. Comparisons are made with the quadrature method of moments (QMOM), hybrid method of moments (HMOM) and a high-precision stochastic solution calculated using the established direct simulation algorithm (DSA) and advantages of MPM are drawn. NRF (Natl Research Foundation, S’pore) Accepted version 2018-03-05T08:34:59Z 2019-12-06T16:54:13Z 2018-03-05T08:34:59Z 2019-12-06T16:54:13Z 2017 Journal Article Wu, S., Yapp, E. K. Y., Akroyd, J., Mosbach, S., Xu, R., Yang, W., et al. (2017). Extension of moment projection method to the fragmentation process. Journal of Computational Physics, 335, 516-534. 0021-9991 https://hdl.handle.net/10356/88018 http://hdl.handle.net/10220/44507 10.1016/j.jcp.2017.01.045 en Journal of Computational Physics © 2017 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of Computational Physics, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.jcp.2017.01.045]. 31 p. application/pdf |
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Fragmentation Breakage Wu, Shaohua Yapp, Edward K. Y. Akroyd, Jethro Mosbach, Sebastian Xu, Rong Yang, Wenming Kraft, Markus Extension of moment projection method to the fragmentation process |
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The method of moments is a simple but efficient method of solving the population balance equation which describes particle dynamics. Recently, the moment projection method (MPM) was proposed and validated for particle inception, coagulation, growth and, more importantly, shrinkage; here the method is extended to include the fragmentation process. The performance of MPM is tested for 13 different test cases for different fragmentation kernels, fragment distribution functions and initial conditions. Comparisons are made with the quadrature method of moments (QMOM), hybrid method of moments (HMOM) and a high-precision stochastic solution calculated using the established direct simulation algorithm (DSA) and advantages of MPM are drawn. |
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School of Chemical and Biomedical Engineering |
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School of Chemical and Biomedical Engineering Wu, Shaohua Yapp, Edward K. Y. Akroyd, Jethro Mosbach, Sebastian Xu, Rong Yang, Wenming Kraft, Markus |
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Article |
author |
Wu, Shaohua Yapp, Edward K. Y. Akroyd, Jethro Mosbach, Sebastian Xu, Rong Yang, Wenming Kraft, Markus |
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Wu, Shaohua |
title |
Extension of moment projection method to the fragmentation process |
title_short |
Extension of moment projection method to the fragmentation process |
title_full |
Extension of moment projection method to the fragmentation process |
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Extension of moment projection method to the fragmentation process |
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Extension of moment projection method to the fragmentation process |
title_sort |
extension of moment projection method to the fragmentation process |
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2018 |
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https://hdl.handle.net/10356/88018 http://hdl.handle.net/10220/44507 |
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1787136598274473984 |