Effect of spatial distribution of mesoscale heterogeneities on the shock-to-detonation transition in liquid nitromethane

被引:9
作者
Mi, XiaoCheng [1 ]
Michael, Louisa [1 ]
Nikiforakis, Nikolaos [1 ]
Higgins, Andrew J. [2 ]
机构
[1] Univ Cambridge, Cavendish Lab, Dept Phys, Cambridge CB3 0HE, England
[2] McGill Univ, Dept Mech Engn, Montreal, PQ H3A 0C3, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Detonation; Shock to detonation transition; Nitromethane; Hot spot; Mesoscale; ENERGETIC MATERIALS; INITIATION; INSTABILITY; MICROSTRUCTURE; SIMULATIONS; TEMPERATURE; DIAMETER; COLLAPSE; FEATURES; DENSITY;
D O I
10.1016/j.combustflame.2020.08.053
中图分类号
O414.1 [热力学];
学科分类号
摘要
The sensitizing effect of cavities in the form of microbubbles on the shock initiation of a homogeneous liquid explosive is studied computationally. While the presence of voids in an explosive has long been known to induce so-called hot spots that greatly accelerate the global reaction rate, the ability to computationally resolve the details of the interaction of the shock front with heterogeneities existing on the scale of the detonation reaction zone has only recently become feasible. In this study, the influence of the spatial distribution of air-filled cavities has been examined, enabled by the use of graphic processing unit (GPU) accelerated computations that can resolve shock initiation and detonation propagation through an explosive while fully resolving features at the mesoscale. Different spatial distributions of cavities are examined in two-dimensional simulations, including regular arrays of cavities, slightly perturbed arrays, random arrays (with varying minimum spacing being imposed on the cavities), and randomly distributed clusters of cavities. Statistical ensembles of simulations are performed for the cases with randomly positioned cavities. The presence of the cavities is able to reduce the time required to initiate detonationfor a given input shock strength-by greater than 50%, in agreement with previous experimental results. Randomly distributing the cavities results in a 15-20% decrease in detonation initiation time in comparison to a regular array of cavities. Clustering the cavities-as would occur in the case of agglomeration-results in an additional 10% decrease in detonation initiation time in comparison to random arrays. The effect of clustering is shown not to be a result of the clusters forming an effectively larger cavity, but rather due to interactions between clusters upon shock loading occurring on the microscale. The implications of these results for modelling and experiments of microbubble-sensitized explosives is discussed. (C) 2020 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:392 / 410
页数:19
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