Development of a multi-compartment population balance model for high-shear wet granulation with discrete element method
This paper presents a multi-compartment population balance model for wet granulation coupled with DEM (discrete element method) simulations. Methodologies are developed to extract relevant data from the DEM simulations to inform the population balance model. First, compartmental residence times are...
| Hlavní autoři: | , , , , , , |
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| Médium: | Journal Article |
| Jazyk: | English |
| Vydáno: |
2018
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| Témata: | |
| On-line přístup: | https://hdl.handle.net/10356/88020 http://hdl.handle.net/10220/44503 |
| _version_ | 1826112636116271104 |
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| author | Lee, Kok Foong Dosta, Maksym McGuire, Andrew D. Mosbach, Sebastian Wagner, Wolfgang Heinrich, Stefan Kraft, Markus |
| author2 | School of Chemical and Biomedical Engineering |
| author_facet | School of Chemical and Biomedical Engineering Lee, Kok Foong Dosta, Maksym McGuire, Andrew D. Mosbach, Sebastian Wagner, Wolfgang Heinrich, Stefan Kraft, Markus |
| author_sort | Lee, Kok Foong |
| collection | NTU |
| description | This paper presents a multi-compartment population balance model for wet granulation coupled with DEM (discrete element method) simulations. Methodologies are developed to extract relevant data from the DEM simulations to inform the population balance model. First, compartmental residence times are calculated for the population balance model from DEM. Then, a suitable collision kernel is chosen for the population balance model based on particle–particle collision frequencies extracted from DEM. It is found that the population balance model is able to predict the trends exhibited by the experimental size and porosity distributions by utilising the information provided by the DEM simulations. |
| first_indexed | 2024-10-01T03:10:20Z |
| format | Journal Article |
| id | ntu-10356/88020 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:10:20Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/880202023-12-29T06:46:14Z Development of a multi-compartment population balance model for high-shear wet granulation with discrete element method Lee, Kok Foong Dosta, Maksym McGuire, Andrew D. Mosbach, Sebastian Wagner, Wolfgang Heinrich, Stefan Kraft, Markus School of Chemical and Biomedical Engineering Stochastic Weighted Algorithm Granulation This paper presents a multi-compartment population balance model for wet granulation coupled with DEM (discrete element method) simulations. Methodologies are developed to extract relevant data from the DEM simulations to inform the population balance model. First, compartmental residence times are calculated for the population balance model from DEM. Then, a suitable collision kernel is chosen for the population balance model based on particle–particle collision frequencies extracted from DEM. It is found that the population balance model is able to predict the trends exhibited by the experimental size and porosity distributions by utilising the information provided by the DEM simulations. NRF (Natl Research Foundation, S’pore) Accepted version 2018-03-05T06:35:25Z 2019-12-06T16:54:16Z 2018-03-05T06:35:25Z 2019-12-06T16:54:16Z 2017 Journal Article Lee, K. F., Dosta, M., McGuire, A. D., Mosbach, S., Wagner, W., Heinrich, S., et al. (2017). Development of a multi-compartment population balance model for high-shear wet granulation with discrete element method. Computers & Chemical Engineering, 99, 171-184. 0098-1354 https://hdl.handle.net/10356/88020 http://hdl.handle.net/10220/44503 10.1016/j.compchemeng.2017.01.022 en Computers and Chemical Engineering © 2017 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Computers and Chemical Engineering, 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.compchemeng.2017.01.022]. 54 p. application/pdf |
| spellingShingle | Stochastic Weighted Algorithm Granulation Lee, Kok Foong Dosta, Maksym McGuire, Andrew D. Mosbach, Sebastian Wagner, Wolfgang Heinrich, Stefan Kraft, Markus Development of a multi-compartment population balance model for high-shear wet granulation with discrete element method |
| title | Development of a multi-compartment population balance model for high-shear wet granulation with discrete element method |
| title_full | Development of a multi-compartment population balance model for high-shear wet granulation with discrete element method |
| title_fullStr | Development of a multi-compartment population balance model for high-shear wet granulation with discrete element method |
| title_full_unstemmed | Development of a multi-compartment population balance model for high-shear wet granulation with discrete element method |
| title_short | Development of a multi-compartment population balance model for high-shear wet granulation with discrete element method |
| title_sort | development of a multi compartment population balance model for high shear wet granulation with discrete element method |
| topic | Stochastic Weighted Algorithm Granulation |
| url | https://hdl.handle.net/10356/88020 http://hdl.handle.net/10220/44503 |
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