Calculation of the initiation pressure of shock-initiated homogeneous explosives

Voskoboinikov, I. M.; Bogomolov, V. M.; Apin, A. Ya.

doi:10.1007/bf00843068

Cited by 5 publications

(4 citation statements)

References 3 publications

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“…The dashed line is a fitting line to the scatter of experimental data of overtake times reported in several independent studies. 2,3,[61][62][63] The simulation results of the overtake times for neat NM qualitatively agree with the experimental data. The best quantitative agreement occurs over a range of input shock pressure from 8.14 GPa to 9.42 GPa.…”

Section: E Overtake Time Vs Incident Shock Pressuresupporting

confidence: 76%

“…The simulation results of overtake time vs. input shock pressure for the scenarios with neat NM and randomly distributed cavities of φ = 8% and d c = 100 µm are replotted in Fig. 11 to compare with experimental data of the SDT overtake time in both neat and GMB-sensitized NM 2,3,43,54,[61][62][63] . Note that Fig.…”

Section: E Overtake Time Vs Incident Shock Pressurementioning

confidence: 99%

“…11 represent the experimentally measured overtake times for SDT processes in guar-gum-gelled NM mixed with GMBs of d c = 40 µm and φ = 0.84% and 2.8%, respectively. Note that only weight fractions of GMBs for these experimentally tested mixtures, i.e., 0.36 wt% and 1.2 wt%, respectively, are provided in the original publication 54 ; the corresponding volume fraction can be found in a 2,3,[61][62][63] The black squares and diamonds represent the experimental results for guar-gum-gelled NM mixed with GMBs of d c = 40 µm and φ = 0.84% and 2.8%, respectively. 54 later technical report 55 via examining the Scanning Electron Microscopy (SEM) images.…”

Section: E Overtake Time Vs Incident Shock Pressurementioning

confidence: 99%

“…The simulation results are for the scenarios of neat NM (blue circles) and randomly distributed cavities (red solid triangles) with φ = 8% and d c = 100 µm. The dashed line is a fitting line to the experimental data for neat NM 2,3,[61][62][63]. The black squares and diamonds represent the experimental results for guar-gum-gelled NM mixed with GMBs of d c = 40 µm and φ = 0.84% and 2.8%, respectively 54.…”

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confidence: 99%

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Meso-resolved simulations of shock-to-detonation transition in nitromethane with air-filled cavities

Michael

Ioannou

et al. 2019

Journal of Applied Physics

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Two-dimensional, meso-resolved numerical simulations are performed to investigate the complete shock-to-detonation transition (SDT) process in a mixture of liquid nitromethane (NM) and air-filled, circular cavities. The shock-induced initiation behaviors resulting from the cases with neat NM, NM with an array of regularly spaced cavities, and NM with randomly distributed cavities are examined. For the case with randomly distributed cavities, hundreds of cavities are explicitly resolved in the simulations using a diffuse-interface approach to treat two immiscible fluids and GPUenabled parallel computing. Without invoking any empirically calibrated, phenomenological models, the reaction rate in the simulations is governed by Arrhenius kinetics. For the cases with neat NM, the resulting SDT process features a superdetonation that evolves from a thermal explosion after a delay following the passage of the incident shock wave and eventually catches up with the leading shock front. For the cases wherein mesoscale heterogeneities are explicitly considered, a gradual SDT process is captured. These two distinct initiation behaviors for neat NM and heterogeneous NM mixtures agree with experimental findings. Via examining the global reaction rate of the mixture, a unique time scale characterizing the SDT process, i.e., the overtake time, is measured for each simulation. For an input shock pressure less than approximately 9.4 GPa, the overtake time resulting from a heterogeneous mixture is shorter than that for neat NM. This sensitizing effect is more pronounced for lower input shock pressures. A random distribution of cavities is found to be more effective in enhancing the SDT process than a regular array of cavities. Statistical analysis on the meso-resolved simulation data provides more insights into the mechanism of energy release underlying the SDT process. Possible directions towards a quantitatively better agreement between the experimental and meso-resolved simulation results are discussed. arXiv:1905.05727v2 [physics.comp-ph]

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