Statistical Optimization of Reaction Parameters for the Synthesis of 2,4,6,8,10,12-Hexanitro-2,4,6,8,10,12-hexaazaisowurtzitane

Abstract

An orthogonal array design (OA 32 ) was employed as a statistical optimization method to enhance the performance of the synthesis of 2,4,6,8,10,4,6,8,10,. The current application of the Taguchi method was successful in optimizing the experimental parameters of HNIW synthesis. High-purity HNIW was synthesized on a relativity large scale by the one-pot method using addition of N 2 O 4 , HNO 3 , and H 2 SO 4 to tetraacetyldibenzylhexaazaisowurtzitane (TADB). The effects of reaction conditions such as the TADB:N 2 O 4 , N 2 O 4 :HNO 3 , and HNO 3 :H 2 SO 4 ratio, the temperature of nitrosation, the temperature of addition of HNO 3 and addition of H 2 SO 4 , the time of nitrosation, and the time of addition of HNO 3 and H 2 SO 4 on the yield of synthesized HNIW were investigated. The effects of these factors on the yield of HNIW were quantitavely evaluated by the analysis of variance (ANOVA). The results showed that the yield of HNIW synthesis can be enhanced significantly by controlling the temperature of addition of H 2 SO 4 and the time of nitrosation. Finally, optimal conditions for synthesis of HNIW by the one-pot method were proposed. The results of ANOVA showed that the optimal TADB:N 2 O 4 , N 2 O 4 :HNO 3 , and HNO 3 : H 2 SO 4 ratios are 6, 1:2, and 1:1, respectively; also, the optimal temperatures for nitrosation, addition of HNO 3 , and addition of H 2 SO 4 are 60, 20, and 60 °C, respectively, and the optimal times for nitrosation, addition of HNO 3 , and addition of H 2 SO 4 are 10, 0.5, and 2.5 h, respectively, for producing HNIW. Finally, under optimal conditions, the yield of the reaction is ∼96%.

Optimizing the synthesis of terbium(III) molybdate nanoplates through an orthogonal array design

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Taguchi approach-assisted optimization of spraying in non-solvent process for preparation of potassium perchlorate nanoparticles

“…In Taguchi approach, analysis of the collected data, while there is no considerable interaction between examining factors, includes the following three steps: identification of the optimal conditions for the examined process; assignment of the singular effect of each factor on the process result (the average size of resulted KClO 4 particles); and then estimation of the process efficiency at the proposed optimal conditions. The mean values related to the influence of each factor at related levels might be calculated according to the assignment of the designed trials [38]. Thus, the influence of different levels of each examined factor on the size of resulted KClO 4 particles in the drying process was calculated and the results are given in Fig.…”

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Fabrication of Strontium Nitrate Nanoparticles through a Spraying‐in Non‐Solvent Process Optimized by Taguchi Approach

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