0
Article Sign in to save

Thermogravimetric analysis of textile waste: kinetic parameters and pyrolytic decomposition mechanisms

Journal of Cluster Science 2025 1 citation

AI summary Read the abstract

This study uses thermogravimetric analysis (TGA) to characterize how textile waste, including synthetic fibers like polyester and nylon, decomposes under heat. By measuring weight loss at different temperatures, the researchers determine kinetic parameters that describe the pyrolysis process. These findings are useful for designing thermal recycling or waste-to-energy systems for mixed textile waste streams.

• Optimizes pyrolysis recycling by analyzing textile thermal decomposition. • Determines activation energy using model-free and Coats-Redfern methods. • Identifies fiber-specific decomposition temperatures and reaction mechanisms. • Quantifies gaseous emissions, aiding pollution control in textile recycling. Thermogravimetric analysis (TGA) is a powerful technique to elucidate the thermal decomposition behavior of textile materials, a critical step in designing efficient pyrolysis processes. In this study, new insights into the kinetic behavior and activation energies of various textile fibers, 100 % cotton, 100 % polyester, and cotton/polyester blends, using model-free kinetic methods (Flynn-Wall-Ozawa (FWO), Kissinger-Akahira-Sunose (KAS), and Friedman (FR)) and the Coast-Redfern (CR) method were provided. Thermogravimetric analysis (TGA) was performed at multiple heating rates (5, 10, 15, and 20 °C/min) under an N 2 atmosphere to simulate pyrolysis conditions. Results revealed a clear relationship between fiber composition and decomposition behavior. Therefore, while 100 % cotton decomposes at 371 °C and 100 % polyester at 431 °C, blended fibers exhibit two distinct decomposition steps, a feature not previously reported in detail. The model-free methods indicated that the activation energy (E a ) increases with conversion (α), highlighting the complex multi-step decomposition of these fibers. For example, in 100 % cotton, E a increases from 96.9 kJ/mol (α = 0.1) to 195.6 kJ/mol (α = 0.9), indicating a close dependence on the stages of decomposition. Furthermore, the CR method revealed that the most appropriate reaction models differ by fiber type, identifying the nucleation (F1) model as one of the most suitable, offering a predictive tool for optimizing pyrolysis conditions in industrial textile waste management.

More Papers Like This

Article

Thermogravimetry as a tool to evaluate the contribution of different fabric constituents to fibre release

AI summary Read the abstract

This study introduces a thermogravimetric analysis method using DTG signal deconvolution to rapidly estimate the composition of textile fiber blends, demonstrating its accuracy across polyester, cotton, wool, and acrylic mixtures and its applicability to identifying fibers shed during pilling — a major source of microplastic release.

Article Tier 2

Thermogravimetric analysis of face mask waste: Kinetic analysis via iso-conversional methods

AI summary Read the abstract

Researchers analyzed the thermal decomposition of discarded face masks — which contain plastic microfibers — to evaluate their potential for energy recovery through pyrolysis. The COVID-19 pandemic generated enormous quantities of mask waste, and understanding their thermal behavior can inform strategies for safely processing this new category of plastic waste.

Article

A lumped kinetic model and experimental investigation of poly(ethylene terephthalate) condensed-phase pyrolysis

AI summary Read the abstract

Researchers developed the first quantitative kinetic model for the condensed-phase pyrolysis of PET plastic, combining molecular and radical reaction pathways across 85 species and 700 reactions to simulate thermochemical recycling. The model was validated against new experimental data from TGA and GCxGC-MS analyses, providing a publicly available framework to improve chemical recycling of mixed plastic waste.

Article

Thermal and mechanical properties of textiles as a basis for assessing microfibre release

AI summary Read the abstract

This study uses thermal and mechanical analysis combined with multivariate statistics to show that microfiber release from textiles is most strongly influenced by fiber type, filament structure (continuous vs. staple), elastic modulus, and crystallinity.

Article

Thermal and Kinetic Study of Waste Polypropylene, Cardboard, Wood Biomass, and Their Blends: A Thermogravimetry Approach

AI summary Read the abstract

This study investigates the thermal decomposition and reaction kinetics when waste polypropylene is co-pyrolyzed with cardboard and wood biomass under varying temperature conditions. Researchers analyzed how the presence of biomass materials influences the degradation pathways and energy requirements of polypropylene breakdown. The results provide foundational data for optimizing co-pyrolysis processes as a route for recovering energy or chemicals from mixed waste streams.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper