Thermogravimetric study on thermal degradation kinetics and polymer interactions in mixed thermoplastics

Abstract Potential interactions during thermal degradation of polymer blends significantly influence product yields and their composition. Therefore, chemical recycling of plastic waste requires fundamental understanding of feedstock dependency for effective process design. This study investigates the pyrolysis of polymer blends (HDPE, LDPE, PP, PS, ABS, PET, PA6, PVC) through thermogravimetric experiments at different heating rates. Sample homogeneity’s impact on interactions is analyzed using particles, powder, coextruded blends, and samples in crucibles with separated compartments. A kinetic model is presented to support the experimental findings, assuming linear superposition of individual polymer kinetics. A proposed grouping of thermoplastics, reflecting their degradation behavior and potential interactions, correlates with the polymer structure. Observed interactions, particularly in blends of heteroatom-containing polymers (N, O, Cl), are accelerated reactions and coke formation. Hence, the model accurately predicts the degradation of heteroatom-free polymer mixtures but encounters challenges with more complex blends. This comprehensive study emphasizes the importance of feedstock composition for future pyrolytic polymer recycling. Graphical abstract

Authors

Institutions

Publication Details

Journal
Journal of Thermal Analysis and Calorimetry
Published
2024-10-14
DOI
https://doi.org/10.1007/s10973-024-13630-6
Citations
25
Primary Topic
Thermal and Kinetic Analysis
Type
article
Field-Weighted Citation Impact
2.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermogravimetric study on thermal degradation kinetics and polymer interactions in mixed thermoplastics

Daniela Merz, Michael Zeller, Salar Tavakkol, Christopher Klein et al.
25 citations
Journal of Thermal Analysis and Calorimetry
Thermal and Kinetic Analysis
2.93
article

Thermogravimetric study on thermal degradation kinetics and polymer interactions in mixed thermoplastics

Daniela Merz, Michael Zeller, Salar Tavakkol, Christopher Klein, Leif Schröder, Dieter Stapf, Niklas Netsch, Iuliia Neugber
article en
25 citations

Abstract

Abstract Potential interactions during thermal degradation of polymer blends significantly influence product yields and their composition. Therefore, chemical recycling of plastic waste requires fundamental understanding of feedstock dependency for effective process design. This study investigates the pyrolysis of polymer blends (HDPE, LDPE, PP, PS, ABS, PET, PA6, PVC) through thermogravimetric experiments at different heating rates. Sample homogeneity’s impact on interactions is analyzed using particles, powder, coextruded blends, and samples in crucibles with separated compartments. A kinetic model is presented to support the experimental findings, assuming linear superposition of individual polymer kinetics. A proposed grouping of thermoplastics, reflecting their degradation behavior and potential interactions, correlates with the polymer structure. Observed interactions, particularly in blends of heteroatom-containing polymers (N, O, Cl), are accelerated reactions and coke formation. Hence, the model accurately predicts the degradation of heteroatom-free polymer mixtures but encounters challenges with more complex blends. This comprehensive study emphasizes the importance of feedstock composition for future pyrolytic polymer recycling. Graphical abstract

Journal of Thermal Analysis and CalorimetryVol. 150(1)
Karlsruhe Institute of Technology (DE)
Openalex Percentile: Top 5%
Thermal and Kinetic Analysis
2.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.