4.7 Article

Hierarchical NiO/Al2O3 nanostructure for highly effective smoke and toxic gases suppression of polymer Materials: Experimental and theoretical investigation

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ELSEVIER SCI LTD
DOI: 10.1016/j.compositesa.2023.107807

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B. Flame retardancy; A. Nanocomposites; C. Computational modelling; C. Process Simulation

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Based on density functional theory (DFT) study, this research reveals the flame retardancy mechanism of hierarchical NiO/Al2O3 nanostructures in thermoplastic polyurethane (TPU). The incorporation of NiO/Al2O3-S can significantly reduce total smoke release and CO production rate, as well as decrease smoke density. Moreover, introducing catalysts on the surface of TPU nanocomposites enhances the adsorption energy, facilitating CO oxidation reactions to reduce flue gas emissions and toxicity levels.
There is still a lack of in-depth investigation of the suppression mechanism for polymeric materials. Herein, based on the density functional theory (DFT) study, the flame retardancy, smoke, and toxic gases suppression mech-anisms of hierarchical NiO/Al2O3 nanostructures in thermoplastic polyurethane (TPU) are in-depth revealed. The incorporation of NiO/Al2O3-S into TPU leads to a significant reduction in total smoke release by 41.9%, and peak CO production rate by 47.8% (Cone calorimetry test results). Besides, the NiO/Al2O3-S results in a remarkable decrease of 48% in Dsmax during the smoke density test. Most importantly, based on DFT calculations, incor-porating catalysts enhances the adsorption energy of CO, O2, and CO2 on the surface of TPU nanocomposites, thereby facilitating CO oxidation reactions. This is conducive to reducing flue gas emissions and toxicity levels. This work introduces DFT into the flame retardancy research of polymer materials, thus providing reliable guidance for designing highly effective smoke suppressants.

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