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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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Kuah, Kenny Wen Cheong.
مؤلفون آخرون: Vinay Kumar Kariwala
التنسيق: Final Year Project
اللغة:English
منشور في: 2010
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10356/39829
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spelling sg-ntu-dr.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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Chemistry::Crystallography
spellingShingle DRNTU::Science::Chemistry::Crystallography
Kuah, Kenny Wen Cheong.
Population balance modeling for crystallization processes
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.
author2 Vinay Kumar Kariwala
author_facet Vinay Kumar Kariwala
Kuah, Kenny Wen Cheong.
format Final Year Project
author Kuah, Kenny Wen Cheong.
author_sort Kuah, Kenny Wen Cheong.
title Population balance modeling for crystallization processes
title_short 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_sort population balance modeling for crystallization processes
publishDate 2010
url http://hdl.handle.net/10356/39829
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