Zentel, Kristina M. ; Busch, Markus (2022)
Predicting Polymer Properties via a Coupled Kinetic, Stochastic and Rheological Modeling Approach from Reaction Conditions.
In: Macromolecular Reaction Engineering, 2022, 16 (1)
doi: 10.26083/tuprints-00021542
Artikel, Zweitveröffentlichung, Verlagsversion
Kurzbeschreibung (Abstract)
A three‐step multiscale modeling approach to predict and thus control polymer properties, such as flow behavior and linear as well as non‐linear rheology, based on polymerization conditions, is developed and applied for long‐chain branched low‐density polyethylene (LDPE). The approach consists of i) a deterministic kinetic model for the description of conversion and average polymer characteristics, ii) a hybrid stochastic Monte Carlo model for the description of the polymeric microstructure, and iii) a rheology model for the evaluation of polymer melt flow properties. The modeling approach is validated via high‐pressure miniplant LDPE samples with a special focus on long‐chain branching. In the next step, the modeling approach can be successfully transferred to a tubular reactor of industrial scale. Due to its universality the approach opens up possible applications for other polymer and also copolymer systems.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Zentel, Kristina M. ; Busch, Markus |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Predicting Polymer Properties via a Coupled Kinetic, Stochastic and Rheological Modeling Approach from Reaction Conditions |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2022 |
| Verlag: | Wiley-VCH |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Macromolecular Reaction Engineering |
| Jahrgang/Volume einer Zeitschrift: | 16 |
| (Heft-)Nummer: | 1 |
| Kollation: | 16 Seiten |
| DOI: | 10.26083/tuprints-00021542 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/21542 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (Abstract): | A three‐step multiscale modeling approach to predict and thus control polymer properties, such as flow behavior and linear as well as non‐linear rheology, based on polymerization conditions, is developed and applied for long‐chain branched low‐density polyethylene (LDPE). The approach consists of i) a deterministic kinetic model for the description of conversion and average polymer characteristics, ii) a hybrid stochastic Monte Carlo model for the description of the polymeric microstructure, and iii) a rheology model for the evaluation of polymer melt flow properties. The modeling approach is validated via high‐pressure miniplant LDPE samples with a special focus on long‐chain branching. In the next step, the modeling approach can be successfully transferred to a tubular reactor of industrial scale. Due to its universality the approach opens up possible applications for other polymer and also copolymer systems. |
| Freie Schlagworte: | low‐density polyethylene, multiscale modeling, rheology, structure–property relationships |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-215429 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 500 Naturwissenschaften und Mathematik > 540 Chemie |
| Fachbereich(e)/-gebiet(e): | 07 Fachbereich Chemie 07 Fachbereich Chemie > Ernst-Berl-Institut > Fachgebiet Technische Chemie 07 Fachbereich Chemie > Ernst-Berl-Institut > Fachgebiet Technische Chemie > Technische Chemie III |
| Hinterlegungsdatum: | 24 Jun 2022 13:10 |
| Letzte Änderung: | 15 Mär 2023 09:46 |
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