This is the authors' abstract. We don't add key points for this paper.
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.
No takes yet. Share an insight, caveat, or question.
Arjona et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: