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A Method for Predicting the Crystallinity of Linear and Branched Polyethylene

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A Method for Predicting the Crystallinity of Linear and Branched Polyethylene

Author Information
1
Institute of Technical Thermodynamics and Refrigeration Technology, Karlsruhe Institute of Technology, Engler-Bunte-Ring 21, 76131 Karlsruhe, Germany
2
Institute of Technical Thermodynamics, Karlsruhe Institute of Technology, Engelbert-Arnold-Str. 4, 76131 Karlsruhe, Germany
*
Authors to whom correspondence should be addressed.
This work was part of the PhD dissertation of the author Simon Leube.

Received: 23 July 2026 Revised: 17 August 2026 Accepted: 26 August 2026 Published: 20 September 2026

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© 2026 The authors. This is an open access article under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).

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Sustain. Polym. Energy 2026, 4(3), 10016; DOI: 10.70322/spe.2026.10016
ABSTRACT: The molecular parameters of polyethylene are characterized by its molecular weight distribution and the branching. Both strongly manipulate the crystalline state, which plays a key role in the predetermination of many product properties such as gas solubility, melting behavior, and tensile strength. This work addresses the question of how the crystallinity of polyethylene can be calculated as a function of molecular parameters (molecular weight and branching) and temperature. The basic idea is to transfer the so-called statistical car-parking problem (CPP) to polyethylene. However, this concept does not consider branching. Therefore, the CPP is coupled with the Flory approach for co-polymers (FCA), which explicitly considers branching. The coupled theory of CPP and FCA correctly predicts the crystallinity of branched polyethylene from molecular parameters and temperature, and reproduces the dependencies of the influencing variables observed in experimental data reported in the literature.
Keywords: Crystallinity of polyethylene; Branched polyethylene; Prediction of the crystallinity
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