Polymerization of Isobutylene in a Rotating Packed Bed Reactor: Experimental and Modeling Studies
Polymerization of isobutylene (IB) for synthesizing highly reactive polyisobutylene (HRPIB) is characterized by a complicated fast intrinsic reaction rate; therefore, the features of its products exhibit a strong dependence on mixing efficiency. To provide uniform and efficient mixing, a rotating pa...
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| Autores principales: | , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
MDPI AG
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/3c84d1f21526425c86de6e748c1a1238 |
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| Sumario: | Polymerization of isobutylene (IB) for synthesizing highly reactive polyisobutylene (HRPIB) is characterized by a complicated fast intrinsic reaction rate; therefore, the features of its products exhibit a strong dependence on mixing efficiency. To provide uniform and efficient mixing, a rotating packed bed was employed as a reactor for polymerization of IB. The effects of operating parameters including polymerization temperature (<i>T</i>), rotating speed (<i>N</i>) and relative dosage of monomers and initiating systems ([M]<sub>0</sub>/[I]<sub>0</sub>) on number-average molecular weight (<i>M<sub>n</sub></i>) of HRPIB were studied. HRPIB with <i>M<sub>n</sub></i> of 2550 g·mol<sup>−1</sup> and exo-olefin terminal content of 85 mol% were efficiently obtained at suitable conditions as <i>T</i> of 283 K, <i>N</i> of 1600 rpm and [M]<sub>0</sub>/[I]<sub>0</sub> of 49. Moreover, the <i>M<sub>n</sub></i> can be regulated by changing <i>T, N</i> and [M]<sub>0</sub>/[I]<sub>0</sub>. Based on the presumptive-steady-state analysis method and the coalescence–redispersion model, a model for prediction of the <i>M<sub>n</sub></i> was developed and validated, and the calculated <i>M<sub>n</sub></i> values agreed well with experimental results, with a deviation of ±10%. The results demonstrate that RPB is a promising reactor for synthesizing HRPIB, and the given model for <i>M</i><i><sub>n</sub></i> can be applied for the design of RPB and process optimization. |
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