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Updated: Jul 16, 2025

Designed for Molecular Recycling: A Lignin-Derived Semi-aromatic Biobased Polymer
Published on: November 30, 2020
Material Characterization of Polypropylene and Polystyrene Regarding Molecular Degradation Behavior
Christoph Schall1, Volker Schöppner1
1Kunststofftechnik Paderborn, Paderborn University, 33098 Paderborn, Germany.
This study developed a method to predict polymer degradation during thermoplastic processing. Understanding material breakdown helps optimize manufacturing and recycling processes for better plastic product quality.
Area of Science:
- Polymer Science
- Materials Engineering
- Chemical Engineering
Background:
- Thermoplastic processing induces stress, causing polymer chain scission and reduced molar mass.
- This degradation lowers melt viscosity, negatively impacting the mechanical properties of final plastic products.
- Material degradation presents significant challenges in plastic recycling and process technology.
Purpose of the Study:
- To develop a predictive model for material degradation under defined processing stresses.
- To enable material-gentle process design for thermoplastics.
- To improve the understanding and control of polymer breakdown during manufacturing and recycling.
Main Methods:
- Designed a specialized test stand to induce and measure material degradation under controlled temperature, shear rate, and residence time.
- Measured melt viscosity as a key indicator of polymer degradation, correlating it with molar mass changes.
- Utilized a test plan and mathematical modeling to describe the relationship between stress variables and viscosity reduction.
Main Results:
- Successfully correlated viscosity decrease with polymer degradation under specific processing conditions.
- Developed a mathematical model to predict material damage based on temperature, shear rate, and residence time.
- Demonstrated the feasibility of simulating material degradation, including viscosity reduction, within plastics processing environments.
Conclusions:
- The developed predictive model allows for better control over material degradation during thermoplastic processing.
- Integration into simulation environments facilitates optimized process design, particularly for recycling applications.
- This approach enhances the ability to maintain or predict the quality of recycled plastics.
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