In this research, poly(epichlorohydrin)(PECH) is modified by phenylhydrazine as well as 4-nitrophenylhydrazine and 2,4-dinitro phenylhydrazine. The chemical structures of the new derivatives of PECH are analyzed by Fourier transform infrared (FT-IR), nuclear magnetic resonance (NMR) and ultraviolet-visible (UV) techniques as well as carbon-hydrogen-nitrogen (CHN) ultimate analysis. Thermal characteristics of reaction products are studied by thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC). Moreover, glass transition temperature (T g ) of these new polymers are determined. The results indicate that modifications of the poly(epichlorohydrin) are carried out successfully. The new energetic derivatives of PECH are good candidates for chemical industries, which may be considered as a novel class of energetic binders.Keywords: PECH · phenyl hydrazine · 4-nitrophenylhydrazine · 2,4-dinitrophenylhydrazine · energetic poly(epichlorohydrin) 2 Experimental
MaterialsAll the chemicals used in this work were of analytical grade. Epichlorohydrin and N,N-dimethylacetamide (DMAc) were purchased from sigma-Aldrich. Tin tetrachloride (SnCl 4 ), phenylhydrazine, 4-nitrophenylhydrazine, 2,4-dinitrophenylhydrazine, ethylene glycol and dichloromethane were obtained from [a] F.
Two simple models are introduced to predict the char yield of different polymers. The first model is based on the basis of the number of some atoms in the repeat units that may contain chemical groups/moieties such as methyl, phenyl, carbonyl, ether, amide, and ester. The second model uses some molecular fragments beside elemental composition to derive more reliable correlation. In contrast to available Quantitative Structure -Property Relationships (QSPR) methodology, there is no need to use complex molecular descriptors, 1049 computer codes and expert users. Two models were constructed on the basis of the measured char yield of 111 polymers and compared with the predicted results of group additivity method. The root mean square (RMS) deviations of the first and second models are 12.6 and 7.2, which are lower than those predicted by two group additivity methods, i.e. 16.3. The new models were tested for 11 new synthesized polymers, where the RMS values are lower than those obtained by group additivity method.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.