Bibliographic Details
| Title: |
Integrated effect of supramolecular self-assembled sandwich-like melamine cyanurate/MoS2 hybrid sheets on reducing fire hazards of polyamide 6 composites. |
| Authors: |
Feng, Xiaming1,2, Wang, Xin1 wxcmx@ustc.edu.cn, Cai, Wei1, Hong, Ningning1, Hu, Yuan1,2 yuanhu@ustc.edu.cn, Liew, Kim Meow2,3 |
| Source: |
Journal of Hazardous Materials. Dec2016, Vol. 320, p252-264. 13p. |
| Subjects: |
Molecular self-assembly, Supramolecular chemistry, Melamine, Molybdenum disulfide, Fire risk assessment, Polyamides, Polymeric composites |
| Abstract: |
A novel strategy of using supramolecular self-assembly for preparing sandwich-like melamine cyanurate/MoS 2 sheets as the hybrid flame retardants for polyamide 6 (PA6) is reported for the first time. The introduction of MoS 2 sheets function not only as a template to induce the formation of two-dimensional melamine cyanurate capping layers but also as a synergist to generate integrated flame-retarding effect of hybrid sheets, as well as a high-performance smoke suppressor to reduce fire hazards of PA6 materials. Once incorporating this well-designed structures (4 wt%) into PA6 matrix, there resulted in a remarkable drop (40%) in the peak heat release rate and a 25% reduction in total heat release. Moreover, the smoke production and pyrolysis gaseous products were efficiently suppressed by the addition of sandwich-like hybrid sheets. The integrated functions consisting of inherent flame retarding effect, physical barrier performance and catalytic activity are believed to the crucial guarantee for the reduced fire hazards of PA6 nanocomposites. Furthermore, this novel strategy with facile and scalable features may provide reference for developing various kinds of MoS 2 based hybrid sheets for diverse applications. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Hazardous Materials is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |