Dernbach, Maria ; Kirsch, Julian ; Busch, Markus (2024)
Modeling Rheological Properties of HDPE Based on Polymerization Kinetics.
In: Chemie Ingenieur Technik, 2020, 92 (5)
doi: 10.26083/tuprints-00016734
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Modeling Rheological Properties of HDPE Based on Polymerization Kinetics |
| Language: | English |
| Date: | 5 January 2024 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2020 |
| Place of primary publication: | Weinheim |
| Publisher: | Wiley-VCH |
| Journal or Publication Title: | Chemie Ingenieur Technik |
| Volume of the journal: | 92 |
| Issue Number: | 5 |
| DOI: | 10.26083/tuprints-00016734 |
| Corresponding Links: | |
| Origin: | Secondary publication DeepGreen |
| Abstract: | A three‐step modeling approach to obtain rheological properties from the kinetics of the metallocene‐catalyzed homopolymerization of ethene is developed. With that, linear as well as slightly branched high‐density polyethylene is investigated. Therefore, a deterministic kinetic model of the metallocene‐catalyzed polymerization of ethene is set up and coupled with a Monte Carlo algorithm to obtain molecular weight distributions and polymeric microstructures. The topological information is used as input for the rheology model to compute linear and non‐linear rheological properties. |
| Uncontrolled Keywords: | High‐density polyethylene, Metallocene polyethylene, Modeling, Polymerization kinetics, Rheology |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-167346 |
| Additional Information: | Special Issue: Reaktionstechnik |
| Classification DDC: | 500 Science and mathematics > 540 Chemistry 600 Technology, medicine, applied sciences > 660 Chemical engineering |
| Divisions: | 07 Department of Chemistry > Ernst-Berl-Institut > Fachgebiet Technische Chemie |
| Date Deposited: | 05 Jan 2024 14:24 |
| Last Modified: | 09 Jan 2024 09:17 |
| SWORD Depositor: | Deep Green |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/16734 |
| PPN: | 514519835 |
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