Population balance modeling for crystallization processes
Crystallization is a separation process involving mechanisms such as nucleation, growth, aggregation and breakage. Population Balance Model (PBM) is widely used to describe the behavior of crystallization processes. PBM can be used to determine the crystal size distribution in the crystallization pr...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2010
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| Online Access: | http://hdl.handle.net/10356/39829 |
| _version_ | 1826113793680211968 |
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| author | Kuah, Kenny Wen Cheong. |
| author2 | Vinay Kumar Kariwala |
| author_facet | Vinay Kumar Kariwala Kuah, Kenny Wen Cheong. |
| author_sort | Kuah, Kenny Wen Cheong. |
| collection | NTU |
| description | Crystallization is a separation process involving mechanisms such as nucleation, growth, aggregation and breakage. Population Balance Model (PBM) is widely used to describe the behavior of crystallization processes. PBM can be used to determine the crystal size distribution in the crystallization process to optimize the product specifications. PBM involves hyperbolic partial differential equations (PDE) which often do not have analytical solution. Therefore, various numerical methods are employed to solve the model equations, called population balance equations (PBE).
In this report, hierarchical two-tier method algorithm is evaluated. This technique is based on employing individual rates of nucleation, growth and coagulation to update the population size distribution (PSD). The first step is the calculation of the rates of nucleations, growth and coagulation by solving a set of equations. Subsequently, this information is used to update the PSD. IN solving the coagulation kernel, a semi-analytical solution strategy is adapted which reduces the computational requirements yet ensuring the consistency of properties such as number and mass particles. A computationally efficient solution technique would be useful in presenting PBM and this serves as the motivation for the suitability of two-tier method algorithm and its application. |
| first_indexed | 2024-10-01T03:29:01Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/39829 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:29:01Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/398292023-03-03T15:33:32Z Population balance modeling for crystallization processes Kuah, Kenny Wen Cheong. Vinay Kumar Kariwala School of Chemical and Biomedical Engineering DRNTU::Science::Chemistry::Crystallography Crystallization is a separation process involving mechanisms such as nucleation, growth, aggregation and breakage. Population Balance Model (PBM) is widely used to describe the behavior of crystallization processes. PBM can be used to determine the crystal size distribution in the crystallization process to optimize the product specifications. PBM involves hyperbolic partial differential equations (PDE) which often do not have analytical solution. Therefore, various numerical methods are employed to solve the model equations, called population balance equations (PBE). In this report, hierarchical two-tier method algorithm is evaluated. This technique is based on employing individual rates of nucleation, growth and coagulation to update the population size distribution (PSD). The first step is the calculation of the rates of nucleations, growth and coagulation by solving a set of equations. Subsequently, this information is used to update the PSD. IN solving the coagulation kernel, a semi-analytical solution strategy is adapted which reduces the computational requirements yet ensuring the consistency of properties such as number and mass particles. A computationally efficient solution technique would be useful in presenting PBM and this serves as the motivation for the suitability of two-tier method algorithm and its application. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2010-06-07T02:37:24Z 2010-06-07T02:37:24Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/39829 en Nanyang Technological University 57 p. application/pdf |
| spellingShingle | DRNTU::Science::Chemistry::Crystallography Kuah, Kenny Wen Cheong. Population balance modeling for crystallization processes |
| title | Population balance modeling for crystallization processes |
| title_full | Population balance modeling for crystallization processes |
| title_fullStr | Population balance modeling for crystallization processes |
| title_full_unstemmed | Population balance modeling for crystallization processes |
| title_short | Population balance modeling for crystallization processes |
| title_sort | population balance modeling for crystallization processes |
| topic | DRNTU::Science::Chemistry::Crystallography |
| url | http://hdl.handle.net/10356/39829 |
| work_keys_str_mv | AT kuahkennywencheong populationbalancemodelingforcrystallizationprocesses |