2021
DOI: 10.4067/s0718-221x2021000100446
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Kinetic analysis of thermal degradation of Cedrela odorata, Marmaroxylon racemosum and Tectona grandis from timber industry

Abstract: Thermal analysis is a powerful tool to predict the composition and thermal stability of different materials. In this work, thermogravimetric analysis of Cedrela odorata, Marmaroxylon racemosum and Tectona grandis was carried out at four different heating rates (5 °C•min -1 , 10 °C•min -1 , 20 °C•min -1 and 40 °C•min -1 ) in a non-isothermal condition. The degradation kinetics was evaluated based on Flynn-Wall-Ozawa and Criado methods. The half-life time of wood degradation reaction was also studied. The wood t… Show more

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Cited by 3 publications
(2 citation statements)
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“…On the other hand, dichloromethane extractives showed no relationship with wood combustibility indices. Although these extractives are resistant to high temperatures and have high carbon content [40], they are less present in hardwood and thus did not show relationships with the evaluated combustibility parameters [41].…”
Section: Relationship Between Wood Chemistry and Combustibilitymentioning
confidence: 90%
“…On the other hand, dichloromethane extractives showed no relationship with wood combustibility indices. Although these extractives are resistant to high temperatures and have high carbon content [40], they are less present in hardwood and thus did not show relationships with the evaluated combustibility parameters [41].…”
Section: Relationship Between Wood Chemistry and Combustibilitymentioning
confidence: 90%
“…Table 4 illustrate that as the activation energy increased as the degree of conversion rate (α) increased from 0.1 to 0.9, the, indicating that the complex reaction may have occurred at a higher temperature [50], thermal cracking and devolatization of wood components occur at this stage, implying a series of reaction [51]. The Eα values increased from 189 to 326 KJ/mol and from 189 to 335 KJ/mol for FWO and KAS, shown in Fig 5 (a & b).…”
Section: Kinetic Analysismentioning
confidence: 99%