Foil-like manganin gauges for dynamic high pressure measurements

A series of shock initiation experiments on the explosive PBXC03 (87 % HMX, 7 % TATB, and 6 % Viton by weight) with different particle sizes and porosities under various shock loadings have been performed, and it is found that the particle size and the porosity of the explosives have much influence on the shock initiation characteristics. That is, the smaller the particle size, the more difficult the explosive to be ignited but the faster the detonation grows once the explosive is ignited. It is also found that the detonation grows the fastest in the explosive with moderate porosity. Moreover, a modified mesoscopic reaction rate model based on the experimental results and the pore collapse hot-spot ignition mechanism is developed, which allows for a separate reaction mechanism evaluation at different reaction stages for the shock initiation and detonation growth processes in the explosives. The calculated pressure-time histories and Pop-Plots for PBXC03 are founded to be all in good agreement with the experimental data. The modified mesoscopic reaction rate model shows its potentiality for quantitatively predicting the effects of the mesostructure of PBXs on the shock initiation and detonation growth processes with a high degree of confidence.Keywords: Shock initiation · Lagrangian experimental system · Modified mesoscopic reaction rate model · Particle size · Porosity · PBX explosive Embedded Manganin Gauge Measurements and Modeling of Shock Initiation in HMX-Based PBX Explosives Propellants Explos. Pyrotech. 2020, 45, 908-920 www.pep.wiley-vch.de

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“…The electric resistance R 0 of the manganin piezoresistive pressure gauge is 0.1∼0.2 Ω, and the pressure‐resistance relation is :

true P = ((), 0.76356 \pm 0.1811) + ((), 34.62796 \pm 0.96071) ((), \frac{Δ R}{R_{0}}) + ((), 6.00762 \pm 0.97841) {(\frac{Δ R}{R_{0}})}^{2}

…”

Section: Experimental Set‐upmentioning

confidence: 99%

Embedded Manganin Gauge Measurements and Modeling of Shock Initiation in HMX‐Based PBX Explosives with Different Particle Sizes and Porosities

Bai

Duan

Luo

et al. 2020

Propellants Explo Pyrotec

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“…The acceleration sensitivity of the Kulite ® piezoresistive pressure sensor is generally below the order of 3×10 −5 % FS/g. In contrast, the acceleration sensitivity of the PPS after compensation is generally around 10 −3 % FS/g due to its large volume and mass [12,13].…”

Section: Explosion Shock Wave Overpressure Measurementmentioning

confidence: 99%

Experimental Study Comparing the Effectiveness of Physical Isolation and ANN Digital Compensation Methodologies at Eliminating the Stress Wave Effect Error on Piezoelectric Pressure Sensor

Feng

2020

Sensors

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Stress wave, accompanied by explosion shock wave overpressure measurement and dynamic pressure calibration on shock tube, could cause error signals in the piezoelectric pressure sensor (PPS) used for measuring and calibrating. We may call this error the stress wave effect (SWE). In this paper, the SWE and its isolation from PPS were studied by using a split Hopkinson pressure bar (SHPB). In the experimental study of SWE, when increasing the input stress, the corresponding output signal of the PPS was analyzed, and the existence of SWE was verified using the result of the spectrum analysis of the output signal. The stress wave isolation pedestal used in the stress wave isolation experiment was made of nylon and plexiglass polymer materials. The effects of the isolation pedestal's materials and length on the stress wave isolation were analyzed using the study results. Finally, an artificial neural network (ANN) was trained with the data of the SWE study and was further applied to compensate the SWE error of the PPS output signal. The compensating results were compared with the isolating results, and the advantages and disadvantages of the digital compensation and physical isolation methods were analyzed.Keywords: piezoelectric pressure sensor (PPS), stress wave effect (SWE), split Hopkinson pressure bar (SHPB), physical isolation; digital compensation; artificial neural network (ANN)

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“…Formulations of DNAN-based melt-cast explosives. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 er supply, and the others connected to the oscilloscope [25]. Two booster charges (desensitized PETN) were used to fully initiate the cylindrical charges, and one probe was placed between the booster and the cylindrical charge to trigger the power supply and the oscilloscope.…”

Section: Detonation Pressurementioning

confidence: 99%

Partial Reparametrization of the BKW Equation of State for DNAN‐Based Melt‐Cast Explosives

Zhou

Zhang

2017

Propellants Explo Pyrotec

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DNAN-based melt-cast explosives are a type of new, insensitive munitions (IM) explosives. Quickly determining munitions' explosive properties is extremely important during the formulation design stage. The aim of this study was to partially reparameterize BKW-EOS (only b and k were reparameterized on the basis of the parameters (a, b, k, and q) of classical BKW-RDX set and BKW-TNT set) to more accurately predict the properties of DNAN-based melt-cast explosives. A new set of parameters b and k was obtained (b = 0.19, k = 9.81) according to measured deto-nation velocity and detonation pressure for ideal DNANbased melt-cast formulations (DNAN/RDX and DNAN/HMX). For non-ideal DNAN-based melt-cast formulations (DNAN/ RDX/Al and DNAN/HMX/Al), aluminum oxidation degree was first determined according to the measured detonation heat; then, another new set of parameters b and k was obtained in the same way as the ideal formulations (b = 0.24, k = 8.5). The predicted detonation properties with BKW reparametrization for DNAN-based melt-cast explosives agreed with the measured data.

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Foil-like manganin gauges for dynamic high pressure measurements

Cited by 28 publications

References 12 publications

Embedded Manganin Gauge Measurements and Modeling of Shock Initiation in HMX‐Based PBX Explosives with Different Particle Sizes and Porosities

Embedded Manganin Gauge Measurements and Modeling of Shock Initiation in HMX‐Based PBX Explosives with Different Particle Sizes and Porosities

Experimental Study Comparing the Effectiveness of Physical Isolation and ANN Digital Compensation Methodologies at Eliminating the Stress Wave Effect Error on Piezoelectric Pressure Sensor

Partial Reparametrization of the BKW Equation of State for DNAN‐Based Melt‐Cast Explosives

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