Peculiarities of Shockwave Ejecta in the Presence of Gas in Front of a Free Surface of a Material

Огородников, В. А.; Mikhaylov, A. L.; Erunov, S. V.; Antipov, M. V.; Федоров, А. В.; Panov, K. N.; Syrunin, M. A.; Kulakov, E. V.; Kleshchevnikov, O. A.; Yurtov, I. V.; Finyushin, S. A.; Pupkov, A. S.; Chapaev, A. V.; Mishanov, A. V.; Tkachenko, B. I.; Chudakov, E. A.

doi:10.1007/s40870-017-0112-8

Cited by 10 publications

(2 citation statements)

References 19 publications

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“…[9,10] Many experimental approaches have attempted to measure the ejection production, such as the Asay foil, [3,11] foam recovery, [12] piezoelectric probes, [4,13] Fraunhofer holography, [14,15] x-ray/proton radiography, [2,16] Mie scattering, [16,17] and photon Doppler velocimetry (PDV). [18][19][20][21][22][23][24] In these approaches, Asay foil and piezoelectric probe are mainly used to measure the particles' momentum distribution, x-ray and proton radiography describe the space density of ejecta, foam recovery collects the total ejected mass, and Fraunhofer holography and Mie scattering measure the particles' diameter. These approaches can only measure some of these ejecta parameters.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction and interpretation of photon Doppler velocimetry spectrum for ejecta particles from shock-loaded sample in vacuum*

Shi¹,

Ma²,

Dang³

et al. 2021

Chinese Phys. B

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The photon Doppler velocimetry (PDV) spectrum is investigated in an attempt to reveal the particle parameters of ejecta from shock-loaded samples in a vacuum. A GPU-accelerated Monte–Carlo algorithm, which considers the multiple-scattering effects of light, is applied to reconstruct the light field of the ejecta and simulate the corresponding PDV spectrum. The influence of the velocity profile, total area mass, and particle size of the ejecta on the simulated spectra is discussed qualitatively. To facilitate a quantitative discussion, a novel theoretical optical model is proposed in which the single-scattering assumption is applied. With this model, the relationships between the particle parameters of ejecta and the peak information of the PDV spectrum are derived, enabling direct extraction of the particle parameters from the PDV spectrum. The values of the ejecta parameters estimated from the experimental spectrum are in good agreement with those measured by a piezoelectric probe.

show abstract

Section: Introductionmentioning

confidence: 99%

Reconstruction and interpretation of photon Doppler velocimetry spectrum for ejecta particles from shock-loaded sample in vacuum*

Shi¹,

Ma²,

Dang³

et al. 2021

Chinese Phys. B

View full text Add to dashboard Cite

show abstract

“…10,11 Many experimental approaches have attempted to measure the ejection production, such as the Asay foil, 3,12 foam recovery, 13 piezoelectric probes, 4,14 Fraunhofer holography, 15,16 X-ray/proton radiography, 2,17 Mie scattering, 17,18 , and photon Doppler velocimetry (PDV). [19][20][21][22][23][24][25] The main quantities of interest are the particles' velocity, diameter, and total area mass. Most approaches can only measure some of these ejecta parameters.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction and interpretation of photon Doppler velocimetry spectrum for ejecta particles from shock-loaded sample in vacuum

Shi,

Ma,

Dang

et al. 2020

Preprint

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The photon Doppler velocimetry (PDV) spectrum is investigated in an attempt to reveal the particle parameters of ejecta from shock-loaded samples in a vacuum. A GPU-accelerated Monte-Carlo algorithm, which considers the multiplescattering effects of light, is applied to reconstruct the light field of the ejecta and simulate the corresponding PDV spectrum. The influence of the velocity profile, total area mass, and particle size of the ejecta on the simulated spectra is discussed qualitatively. To facilitate a quantitative discussion, a novel theoretical optical model is proposed in which the single-scattering assumption is applied. With this model, the relationships between the particle parameters of ejecta and the peak information of the PDV spectrum are derived, enabling direct extraction of the particle parameters from the PDV spectrum. The values of the ejecta parameters estimated from the experimental spectrum are in good agreement with those measured by a piezoelectric probe.

show abstract

Unsupported shock wave induced dynamic fragmentation of matrix in lead with surface grooves

Wang

Zhu

et al. 2019

Computational Materials Science

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Peculiarities of Shockwave Ejecta in the Presence of Gas in Front of a Free Surface of a Material

Cited by 10 publications

References 19 publications

Reconstruction and interpretation of photon Doppler velocimetry spectrum for ejecta particles from shock-loaded sample in vacuum*

Reconstruction and interpretation of photon Doppler velocimetry spectrum for ejecta particles from shock-loaded sample in vacuum*

Reconstruction and interpretation of photon Doppler velocimetry spectrum for ejecta particles from shock-loaded sample in vacuum

Unsupported shock wave induced dynamic fragmentation of matrix in lead with surface grooves

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