What is it about?

* Tannery sludge, a byproduct of the leather industry, is produced in large quantities. This study aimed to understand how tannery sludge degrades when subjected to heat. * The researchers conducted experiments using thermogravimetric analysis (TGA) in an inert atmosphere with different heating rates. They varied the temperature from 30 to 900 °C. * Three different models, Friedman, Kissinger-Akahira-Sunose (KAS), and the Ozawa-Flynn-Wall (OFW), were used to calculate the kinetic parameters of the degradation process. * The average activation energy (Ea) values obtained from the different models were 130.9 kJ/mol (Friedman), 143.14 kJ/mol (KAS), and 147.19 kJ/mol (OFW).

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Why is it important?

* The study focuses on investigating the thermal degradation behavior of tannery sludge, which is a significant byproduct of the leather industry. * The use of thermogravimetric analysis (TGA) in an inert atmosphere with varied heating rates provides valuable insights into the degradation process of tannery sludge. * Three different models, Friedman, Kissinger-Akahira-Sunose (KAS), and the Ozawa-Flynn-Wall (OFW), were employed to calculate the kinetic parameters, allowing for a comprehensive understanding of the degradation kinetics. * The average activation energy (Ea) values obtained from the different models provide crucial information about the energy required for the degradation process. * The study's findings can contribute to the development of more efficient and sustainable methods for managing tannery sludge, which is produced in large volumes by the leather industry. * Researchers, scientists, and professionals in the field of waste management, environmental science, and leather industry can benefit from the insights provided by this study. * The use of thermogravimetric analysis and kinetic modeling techniques can inspire further research and advancements in understanding the thermal behavior of other organic waste materials.

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This page is a summary of: Assessment of thermokinetic behaviour of tannery sludge in slow pyrolysis process through artificial neural network, Chemosphere, October 2023, Elsevier,
DOI: 10.1016/j.chemosphere.2023.139226.
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