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Experimental and Kinetic Studies on Tobacco Pyrolysis under a Wide Range of Heating Rates.
Mu, Yanfei; Peng, Yuhan; Tang, Xiaodong; Ren, Jie; Xing, Jiangkuan; Luo, Kun; Fan, Jianren; Zhang, Ke.
Afiliação
  • Mu Y; State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310085, P. R. China.
  • Peng Y; China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310088, P. R. China.
  • Tang X; China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310088, P. R. China.
  • Ren J; State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310085, P. R. China.
  • Xing J; State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310085, P. R. China.
  • Luo K; State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310085, P. R. China.
  • Fan J; State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310085, P. R. China.
  • Zhang K; Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450001, P. R. China.
ACS Omega ; 7(1): 1420-1427, 2022 Jan 11.
Article em En | MEDLINE | ID: mdl-35036803
ABSTRACT
In the present work, experimental and kinetic studies are conducted to explore and model tobacco pyrolysis characteristics under a wide range of heating conditions. First, thermal decomposition processes of a tobacco sample were investigated using thermogravimetric analysis/difference thermogravimetry (TGA/DTG) experiments under a wide range of heating rates (10-500 K/min), and the TGA/DTG profiles were compared to highlight the effect of heating rate on the pyrolysis characteristics. The results showed that the tobacco sample was sufficiently devolatilized at 1173.15 K (900 °C) and the final volatiles yields were not sensitive to the heating rate. Moreover, it was illustrated that the DTG curve presents a polymerization trend with the increase in heating rate. Then, kinetic parameters, including total component mass fraction, preexponential factor, and activation energy, were derived by deconvolution from TG/DTG profiles for each component with a one-step kinetic framework, and the correlations between kinetic parameters and heating rates were further explored and modeled. The results illustrated that four subpeaks can be found in the deconvolution, indicating the four components (volatile components, hemicellulose, cellulose, and lignin). In addition, the activation energy of each component was found to be insensitive with heating rate (with standard deviation less than 20%). Therefore, an average activation energy was used for each component to avoid the compensation effect and a power correlation between the heating rate and the preexponential factor could be found. A posteriori analysis also confirmed the validity of this correlation.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Omega Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Omega Ano de publicação: 2022 Tipo de documento: Article