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Preparation and Characterization of Porous Carbon/RDX Nanocomposite Energetic Materials

Jiang Ju, Su Jin-Xiao, Liu Zhi-Tao, Du Ping, Liao Xin, Li Xiao-An

Central European Journal of Energetic Materials

2023

Vol. 20, no. 3

284--301

A novel energetic material was fabricated by filling porous carbon with 1,3,5-trinitro-1,3,5-triazinane (RDX) via the ultrasonic stirring method. Characterization (TEM, BET, XRD, FTIR, etc.) was performed to determine the micromorphology, crystal structure, and specific surface area. TEM images indicated that the RDX particles were homogeneously distributed in the channels of the porous carbon, FTIR spectra and the XRD curve of the C/RDX composite exhibited the combined characteristics of porous carbon and RDX. The BET test data also confirmed this situation. The thermal decomposition kinetics and thermodynamics of the C/RDX nanocomposite energetic material were investigated at various heating rates (5, 10, 15, and 20 K·min⁻¹). The test results showed that the thermal decomposition temperature and the critical temperature of thermal explosion were lower than for RDX alone by 46.8 and 40.69 ℃, respectively. The activation energy of the C/RDX composite was lower than those of raw RDX and a C/RDX physical mixture, indicating that the C/RDX composite exhibited high thermolysis activity.

Expansions for moments of logarithmic skew-normal extremes

Liao Xin, Peng Zuoxiang, Nadarajah Saralees

Probability and Mathematical Statistics

2022

Vol. 42, Fasc. 1

41--61

Liao, Peng and Nadarajah [ J. Appl. Probab. 50 (2013), 900-907] derived asymptotic expansions for the partial maximum of a random sample from the logarithmic skew-normal distribution. Here, we derive asymptotic expansions for moments of the partial maximum using optimal norming constants. These expansions can be used to deduce convergence rates of moments of the normalized maxima to the moments of the corresponding extreme value distribution. A numerical study is made to compare the actual values of moments with their asymptotics, which shows that the convergence is exceedingly slow, and adjustment is needed whenever we use the limits to replace moments of the partial maximum.