氧化石墨烯-氧化铜纳米复合材料催化双基推进剂分解反应动力学

IF 1.5 4区 化学 Q4 CHEMISTRY, PHYSICAL International Journal of Chemical Kinetics Pub Date : 2023-05-02 DOI:10.1002/kin.21650
Elamine Louafi, Moulai Karim Boulkadid, Raouf Belgacemi, Sabri Touidjine, Hamdane Akbi, Samir Belkhiri, Fouad Benaliouche
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引用次数: 1

摘要

本文研究了氧化石墨烯-氧化铜纳米复合材料(GCNC)对双基推进剂(DBP)配方的热性能和分解反应动力学的催化作用。采用差示扫描量热法(DSC)进行热分析。采用维亚佐夫金补偿效应非线性积分法(VYA/CE)、Kissinger-Akahira-Sunose法(KAS)和Flynn-Wall-Ozawa法(FWO)对推进剂的热力学参数进行了估算,包括活化能和频率因子。此外,根据动力学分析结果,计算了临界点火温度。结果表明,加入GCNC后,活化能势垒降低18%,临界点火温度降低;
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Decomposition reaction kinetics of double-base propellant catalyzed with graphene oxide–copper oxide nanocomposite

The purpose of this paper is the investigation of the catalytic effect of graphene oxide–copper oxide nanocomposite (GCNC) on the thermal comportment and decomposition reaction kinetics of a double-base propellant (DBP) formulation. Differential scanning calorimetry (DSC) was used to conduct the thermal analysis. Using well-known iso-conversional kinetics methods, namely, Vyazovkin's nonlinear integral with compensatory effect (VYA/CE), Kissinger–Akahira–Sunose (KAS), and Flynn–Wall–Ozawa (FWO), the thermokinetic parameters for the investigated propellant, including activation energy and frequency factor, were estimated. Additionally, based on the results obtained from the kinetic analysis, the critical ignition temperature was calculated. The results showed that after the addition of GCNC, the activation energy barrier is lowered by 18%, and the critical ignition temperature is reduced.

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来源期刊
CiteScore
3.30
自引率
6.70%
发文量
74
审稿时长
3 months
期刊介绍: As the leading archival journal devoted exclusively to chemical kinetics, the International Journal of Chemical Kinetics publishes original research in gas phase, condensed phase, and polymer reaction kinetics, as well as biochemical and surface kinetics. The Journal seeks to be the primary archive for careful experimental measurements of reaction kinetics, in both simple and complex systems. The Journal also presents new developments in applied theoretical kinetics and publishes large kinetic models, and the algorithms and estimates used in these models. These include methods for handling the large reaction networks important in biochemistry, catalysis, and free radical chemistry. In addition, the Journal explores such topics as the quantitative relationships between molecular structure and chemical reactivity, organic/inorganic chemistry and reaction mechanisms, and the reactive chemistry at interfaces.
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