Ahmad, A. and Mansor, N. and Mahmood, H. and Sharif, F. and Safdar, R. and Moniruzzaman, M. (2023) Evaluation thermal degradation kinetics of ionic liquid assisted polyetheretherketone-multiwalled carbon nanotubes composites. Journal of Applied Polymer Science.
Full text not available from this repository.Abstract
The incorporation of multiwalled carbon nanotubes (MWCNT) into polyetheretherketone (PEEK) composites has emerged as a promising strategy for enhancing the thermomechanical characteristics of PEEK composite materials. This study investigates the thermal behavior and kinetics prediction of PEEK/MWCNT composites comprising different ionic liquids (ILs), namely 1-butyl-3-methylimidazolium hydrogen sulfate (BMIMHSO4), 1-butyl-3-methylimidazolium acetate (BMIMAc), 1-ethyl-3-methylimidazolium acetate (EMIMAc) and 1-ethyl-3-methylimidazolium hydrogen sulfate (EMIMHSO4). Three non-isothermal methods Coats-Redfern, Broido, and Horowitz-Metzger, were employed to model the thermal decomposition profiles of fabricated composites to calculate the activation energy. The highest decomposition temperature (580°C) was obtained for BMIMHSO4-based PEEK/MWCNT composites. Moreover, a 3%�8% increase in the activation energy was obtained compared to PEEK/MWCNT manufactured without ILs. The Coats-Redfern model was superior to Broido and Horowitz-Metzger models in modeling the thermal degradation of developed composites, as evidenced from the higher value of the coefficient of determination (R2 � 0.9899). By determining the Root Mean Square Error (RMSE) and R2 for the thermal degradation kinetics data, the artificial neural network (ANN) model was employed. The ANN model accurately predicted the mass loss curves, exhibiting R2 � 0.9815 for the designed model. These findings can assist in establishing an IL-assisted benign approach for PEEK/MWCNT/IL composites with superior thermal characteristics. © 2023 Wiley Periodicals LLC.
Item Type: | Article |
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Impact Factor: | cited By 0 |
Uncontrolled Keywords: | Activation energy; Composite materials; Decomposition; Degradation; Ionic liquids; Kinetics; Mean square error; Multiwalled carbon nanotubes (MWCN); Sulfur compounds, 1-ethyl-3-methylimidazolium acetates; Artificial neural network modeling; Carbon nanotubes composites; Coats-redfern; Methylimidazolium hydrogen sulfate; Multi-walled-carbon-nanotubes; Polyetheretherketone composites; Polymer composite; Thermal degradation kinetics; Thermo-mechanical characteristics, Neural networks |
Depositing User: | Mr Ahmad Suhairi Mohamed Lazim |
Date Deposited: | 17 Feb 2023 12:58 |
Last Modified: | 17 Feb 2023 12:58 |
URI: | http://scholars.utp.edu.my/id/eprint/34331 |