Dynamic Modeling : The influence of the Improved Solid Elutriation Correlation on the Two-Phase Mathematical Model of Polyolefin Polymerization in Gas-Phase Fluidized Bed Reactor
Process modeling plays an important role in improving and intensifying the chemical process especially the polymerization process with the main aim to improve the operating conditions as well as achieving the quality of the desired polyolefin. The mechanism to build, construct and simulate the polym...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/27653/1/RSCE2019%20Mohd%20Farid%20Atan_Abstract.pdf http://ir.unimas.my/id/eprint/27653/3/RSCE2019 http://ir.unimas.my/id/eprint/27653/ https://umconference.um.edu.my/RSCE2019 |
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| Summary: | Process modeling plays an important role in improving and intensifying the chemical process especially the polymerization process with the main aim to improve the operating conditions as well as achieving the quality of the desired polyolefin. The mechanism to build, construct and simulate the polymerization process is relatively complex due to its high non-linearity of process dynamics. This non-linearity is induced by several aspects such as the reaction mechanism, the heat, and mass transfer mechanism, the flow properties in both solid and gas phase, the type of the reactor used for the polymerization process, and the correlations between the operating conditions with the chemical and physical properties of the produced polyolefin. In this study, polypropylene is chosen as a case study, and the reactor used is a fluidized bed reactor (FBR). This fluidized bed reactor is chosen due to its capability in carrying several type chemical reactions and it possesses very good particle mixing as well as a high rate of heat and mass transfer. In addition, this study is focusing on improving the solid elutriation correlations proposed previously with the aim of increasing the reliability and the accuracy of this two-phase model. The influence of the composition of the reactants injected in the reactor, the inlet temperature and the catalyst flow rate with the production rate are studied and analyzed. The main finding demonstrates that by embedding the improved solid elutriation correlation, it reduces the production rate compared to other proposed solid elutriation correlations implemented previously due to the loss of the product at the top of the fluidized bed reactor. Lastly, the composition of the reactants and the catalyst flow rate have an influence on the production rate. However, the inlet temperature does not have any influence on the production rate. |
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