Modeling and optimization for trans-stilbene expoxidation process.
Data-base model can search for the optimal operating condition for a specific process without prior knowledge about the mechanism of reactions. However, a new model is required for a new process even if there exist a model of similar process, since data-based model is developed on data of correspond...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2010
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| Online Access: | http://hdl.handle.net/10356/39556 |
| _version_ | 1826122416455155712 |
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| author | Lin, Xin Ni. |
| author2 | Chen Bin |
| author_facet | Chen Bin Lin, Xin Ni. |
| author_sort | Lin, Xin Ni. |
| collection | NTU |
| description | Data-base model can search for the optimal operating condition for a specific process without prior knowledge about the mechanism of reactions. However, a new model is required for a new process even if there exist a model of similar process, since data-based model is developed on data of corresponding process. On the other hand, if effective extraction of the process similarities is performed, it can reduce the number of experiments required to develop a new model, hence saving time and cost. Model migration is the technique, used in this study, which considers the hidden relationship between two similar processes. In this project, the author‟s effort lies mainly on the lab-scale experimentation that facilitates the migration of an existing Gaussian Process Regression (GPR) model to a similar process. The author conducted trans-Stilbene epoxidation using Co2+-NaX zeolite catalyst and tert-butyl hydroperoxide (TBHP) oxidant, considering four process factors: reaction temperature, initial trans-Stilbene concentration, stirring rate and reaction duration. Accurate process optimization was achieved by conducting experiments at the design point where predictive response is high and/or predictive variance is large. Results show that this model is accurate enough in high response region to give a convincing prediction of optimal point, with only 14 experimental points needed. |
| first_indexed | 2024-10-01T05:48:07Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/39556 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:48:07Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/395562023-03-03T15:36:57Z Modeling and optimization for trans-stilbene expoxidation process. Lin, Xin Ni. Chen Bin School of Chemical and Biomedical Engineering Chen Tao DRNTU::Engineering::Chemical engineering::Chemical processes Data-base model can search for the optimal operating condition for a specific process without prior knowledge about the mechanism of reactions. However, a new model is required for a new process even if there exist a model of similar process, since data-based model is developed on data of corresponding process. On the other hand, if effective extraction of the process similarities is performed, it can reduce the number of experiments required to develop a new model, hence saving time and cost. Model migration is the technique, used in this study, which considers the hidden relationship between two similar processes. In this project, the author‟s effort lies mainly on the lab-scale experimentation that facilitates the migration of an existing Gaussian Process Regression (GPR) model to a similar process. The author conducted trans-Stilbene epoxidation using Co2+-NaX zeolite catalyst and tert-butyl hydroperoxide (TBHP) oxidant, considering four process factors: reaction temperature, initial trans-Stilbene concentration, stirring rate and reaction duration. Accurate process optimization was achieved by conducting experiments at the design point where predictive response is high and/or predictive variance is large. Results show that this model is accurate enough in high response region to give a convincing prediction of optimal point, with only 14 experimental points needed. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2010-05-31T04:45:37Z 2010-05-31T04:45:37Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/39556 en Nanyang Technological University 45 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Chemical engineering::Chemical processes Lin, Xin Ni. Modeling and optimization for trans-stilbene expoxidation process. |
| title | Modeling and optimization for trans-stilbene expoxidation process. |
| title_full | Modeling and optimization for trans-stilbene expoxidation process. |
| title_fullStr | Modeling and optimization for trans-stilbene expoxidation process. |
| title_full_unstemmed | Modeling and optimization for trans-stilbene expoxidation process. |
| title_short | Modeling and optimization for trans-stilbene expoxidation process. |
| title_sort | modeling and optimization for trans stilbene expoxidation process |
| topic | DRNTU::Engineering::Chemical engineering::Chemical processes |
| url | http://hdl.handle.net/10356/39556 |
| work_keys_str_mv | AT linxinni modelingandoptimizationfortransstilbeneexpoxidationprocess |