Research Data Leeds Repository

Citation

Ries, Michael (2022) Pyrolysis Activation Energy of Cellulosic Fibres Investigated by A Method Derived from The First Order Global Model. University of Leeds. [Dataset] https://doi.org/10.5518/1244

Dataset description

The pyrolysis kinetics of cellulosic fibres, a natural cotton yarn (NCY) and a mercerized cotton yarn (MCY), has been explored with a modified first order global analysis method (FOG), via a series of non-isothermal experiments, using thermogravimetric analysis (TGA). The modified FOG analysis routine was developed to overcome discrepancy in heating rate and difference between exact results and approximations in integrals. The intrinsic pyrolysis activation energy, with temperature range tending to zero, was found to be independent of heating rate and approximation used, giving average values of 153 ± 2 kJ/mol for NCY and 192 ± 7 kJ/mol for MCY. This proves the applicability of the reported analysis routine under the conducted TGA measurements. The reasons for different values were hypothesized to be the difference in chemical composition and crystalline structure. The findings provide a new approach in the investigation on pyrolysis kinetics of biomass and factors impacting their pyrolytic behaviour.

Divisions:	Faculty of Engineering and Physical Sciences > School of Physics and Astronomy
Related resources:	Location Type https://doi.org/10.1016/j.carbpol.2022.120518 Publication https://eprints.whiterose.ac.uk/195519/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	03 Jan 2023 08:15
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1053
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Ries, Michael https://orcid.org/0000-0002-8050-3200 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Publication date: 2022 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: m.e.ries@leeds.ac.uk Last Modified: 07 Nov 2024 15:06

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Raw data for figures [6MB] Raw data for figures [6MB] Raw data for figures [6MB] Security: Anyone File name: dataset.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 6MB