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Updated: Aug 15, 2025

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Published on: November 30, 2020
Pyrolysis Kinetic Study of Polylactic Acid.
Zaid Alhulaybi1, Ibrahim Dubdub1, Mohammed Al-Yaari1
1Chemical Engineering Department, King Faisal University, P.O. Box 380, Al-Ahsa 31982, Saudi Arabia.
This study investigates the pyrolysis kinetics of polylactic acid (PLA), a biodegradable polymer. Analysis revealed the geometrical contraction model (R2) best describes PLA pyrolysis, offering insights for material processing.
Area of Science:
- Polymer Science
- Chemical Engineering
- Materials Science
Background:
- Polylactic acid (PLA) is a biodegradable polymer with significant applications in textiles and food packaging.
- Understanding the thermal degradation kinetics of PLA is crucial for optimizing its processing and end-of-life management.
Purpose of the Study:
- To investigate the pyrolysis kinetics of polylactic acid (PLA).
- To determine the most suitable kinetic model and reaction mechanism for PLA pyrolysis using thermogravimetric analysis (TGA).
Main Methods:
- Thermogravimetric analysis (TGA) was performed on PLA at various heating rates (5, 10, 20, 30 K/min).
- Four model-free kinetic methods (Friedman, Flynn-Wall-Qzawa (FWO), Kissinger-Akahira-Sunose (KAS), and Starink) were employed.
- Two model-fitting methods (Coats-Redfern and Criado) were utilized to identify the reaction mechanism.
Main Results:
- Model-free methods yielded consistent activation energies for PLA pyrolysis, averaging 97, 109, 104, and 104 kJ/mol for Friedman, FWO, KAS, and Starink, respectively.
- The Criado and Coats-Redfern models were used to evaluate reaction mechanisms.
- The geometrical contraction model (R2) was identified as the best fit for describing the PLA pyrolysis process.
Conclusions:
- The pyrolysis of PLA is well-described by kinetic models, with consistent activation energy values obtained across different model-free methods.
- The geometrical contraction model (R2) accurately represents the primary reaction mechanism during PLA pyrolysis, providing valuable data for material scientists and engineers.
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