3,4-Dinitrofurazanfuroxan(DNTF),as a high-energy-density material,features good thermal stability and wide applications.This study aimed to elucidate the thermal decomposition mechanism of DNTF combined with nitrogen-...3,4-Dinitrofurazanfuroxan(DNTF),as a high-energy-density material,features good thermal stability and wide applications.This study aimed to elucidate the thermal decomposition mechanism of DNTF combined with nitrogen-rich compounds containing N-H.The thermal stabilities of DNTF and its hybrid systems were investigated using differential thermal analysis/thermogravimetry(TG),vacuum stability test,and accelerating rate calorimetry under isothermal,non-isothermal,and adiabatic conditions,respectively.Results showed that the thermal stability and thermal safety of DNTF significantly decreased after combining with nitrogen-rich compounds containing N-H.Calculation results showed that the activation energy of the DNTF hybrid systems was significantly lower than that of DNTF.The TGIR was used to monitor the generation of fugitive gases during the thermal decomposition of the DNTF/5-aminotetrazole(5-ATZ)hybrid.Moreover,the nitrogen-rich molecules containing N-H interacted extensively with DNTF,and this interaction accelerated the thermal degradation of DNTF.展开更多
针对置换流水车间调度问题的特性,提出了一种基于链接学习的生物地理学算法(Biogeography-based optimization based on linkage learning,LLBBO)来对其求解。算法以生物地理学算法为架构,使用反向学习方法(Opposition-based learning,O...针对置换流水车间调度问题的特性,提出了一种基于链接学习的生物地理学算法(Biogeography-based optimization based on linkage learning,LLBBO)来对其求解。算法以生物地理学算法为架构,使用反向学习方法(Opposition-based learning,OBL)生成初始解,依据群体适应度值将群体分为优秀群体和劣势群体,使用信息熵的概念以及数理统计方法通过对这两个群体进行统计,分别建立概率矩阵模型以构建一种链接学习模型称为链接区块,使用链接区块依照算法迁移率对群体进行迁移操作实现群体更新。为进一步改善算法的搜寻性,提出一种NEH序列重组法对解序列执行局部搜索以进一步提高适应度。最后运用所提的LLBBO算法通过对基准例题的仿真测试和算法比较验证了所提算法的有效性。展开更多
基金the financially sponsor of the Natural Science Foundation of China(Grant No.51972278)the Outstanding Youth Science and Technology Talents Program of Sichuan(Grant No.19JCQN0085)the Open Project of State Key Laboratory of Environment-friendly Energy Materials(Southwest University of Science and Technology,Grant No.21fksy19)。
文摘3,4-Dinitrofurazanfuroxan(DNTF),as a high-energy-density material,features good thermal stability and wide applications.This study aimed to elucidate the thermal decomposition mechanism of DNTF combined with nitrogen-rich compounds containing N-H.The thermal stabilities of DNTF and its hybrid systems were investigated using differential thermal analysis/thermogravimetry(TG),vacuum stability test,and accelerating rate calorimetry under isothermal,non-isothermal,and adiabatic conditions,respectively.Results showed that the thermal stability and thermal safety of DNTF significantly decreased after combining with nitrogen-rich compounds containing N-H.Calculation results showed that the activation energy of the DNTF hybrid systems was significantly lower than that of DNTF.The TGIR was used to monitor the generation of fugitive gases during the thermal decomposition of the DNTF/5-aminotetrazole(5-ATZ)hybrid.Moreover,the nitrogen-rich molecules containing N-H interacted extensively with DNTF,and this interaction accelerated the thermal degradation of DNTF.
文摘针对置换流水车间调度问题的特性,提出了一种基于链接学习的生物地理学算法(Biogeography-based optimization based on linkage learning,LLBBO)来对其求解。算法以生物地理学算法为架构,使用反向学习方法(Opposition-based learning,OBL)生成初始解,依据群体适应度值将群体分为优秀群体和劣势群体,使用信息熵的概念以及数理统计方法通过对这两个群体进行统计,分别建立概率矩阵模型以构建一种链接学习模型称为链接区块,使用链接区块依照算法迁移率对群体进行迁移操作实现群体更新。为进一步改善算法的搜寻性,提出一种NEH序列重组法对解序列执行局部搜索以进一步提高适应度。最后运用所提的LLBBO算法通过对基准例题的仿真测试和算法比较验证了所提算法的有效性。
