E. Dubreuil

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

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Patrick P. Mercier

University of California, San Diego

J.-E. Franzkowiak

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

S. Lauriot

CEA DAM Île-de-France

J. Veaux

CEA DAM Île-de-France

Jacky Bénier

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

Laurent Berthe

Centre National de la Recherche Scientifique

P. Frugier

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

G. Prudhomme

CEA DAM Île-de-France

Christian Rion

CEA DAM Île-de-France

Michel Debruyne

CEA DAM Île-de-France

Cooperative Institutions

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

CEA DAM Île-de-France

École nationale supérieure d'arts et métiers

ParisTech

Centre National de la Recherche Scientifique

Laboratoire Procédés et Ingénierie en Mécanique et Matériaux

École Nationale Supérieure de Mécanique et d'Aérotechnique

Centre d'études de l'emploi

University of California, San Diego

Carnegie Mellon University

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PDV-based estimation of ejecta particles’ mass-velocity function from shock-loaded tin experiment

Review of Scientific Instruments (2018)

J.-E. Franzkowiak G. Prudhomme Patrick P. Mercier S. Lauriot E. Dubreuil

A metallic tin plate with a given surface finish of wavelength λ ≃ 60 μm and amplitude h ≃ 8 μm is explosively driven by an electro-detonator with a shock-induced breakout pressure PSB = 28 GPa (unsupported). The resulting dynamic fragmentation process, the so-called “micro-jetting,” is the creation of high-speed jets of matter moving faster than the bulk metallic surface. Hydrodynamic instabilities result in the fragmentation of these jets into micron-sized metallic particles constituting a self-expanding cloud of droplets, whose areal mass, velocity, and particle size distributions are unknown. Lithium-niobate-piezoelectric sensor measured areal mass and Photonic Doppler Velocimetry (PDV) was used to get a time-velocity spectrogram of the cloud. In this article, we present both experimental mass and velocity results and we relate the integrated areal mass of the cloud to the PDV power spectral density with the assumption of a power law particle size distribution. Two models of PDV spectrograms are described. The first one accounts for the speckle statistics of the spectrum and the second one describes an average spectrum for which speckle fluctuations are removed. Finally, the second model is used for a maximum likelihood estimation of the cloud’s parameters from PDV data. The estimated integrated areal mass from PDV data is found to agree well with piezoelectric results. We highlight the relevance of analyzing PDV data and correlating different diagnostics to retrieve the physical properties of ejecta particles.

Velocimetry

10.1063/1.4997365

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PDV-based estimation of high-speed ejecta particles density from shock-loaded tin plate

AIP conference proceedings (2018)

J.-E. Franzkowiak G. Prudhomme Patrick P. Mercier S. Lauriot E. Dubreuil

In the context of ejecta particle experiments created from shock-wave loading a metallic surface with machining grooves, we present a method to estimate the areal mass Ms (mg.cm–2) of the particle cloud from non-invasive PDV velocimetry diagnostic. Through the statistical properties of the time-velocity PDV spectrogram, the set of parameters most likely to have generated experimental PDV data is estimated. This approach is detailed on an experiment consisting of a 1-mm thick tin surface with 2D triangular known surface patterns (period of 60 µm and peak-to-peak amplitude of 8 µm) explosively driven by an electro-detonator with a peak breakout pressure of approximately 29 GPa at the metal-vacuum interface.

10.1063/1.5044846

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PDV and shock physics: application to nitro methane shock-detonation transition and particles ejection

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2009)

P. Frugier Patrick P. Mercier Jacky Bénier J. Veaux Michel Debruyne

Heterodyne Velocimetry (or Photonic Doppler Velocimetry) has turned out to be a major tool to study the phenomena occurring in detonics and shock wave experiments. With accessible velocities ranging form a few m/s to 30,000 m/s, a very high sensitivity, a dynamics of more than 20 dB and a multi-velocity capability, one can understand why this technique opens new fields of study. This article is aimed at presenting an outlook of the setups and configurations which have been tested. We will connect this outlook to a quick overview of different kinds of experiments that could be achieved. In a first part we will remind how the system works. We will then detail the many setups that have already been put to the test, with different possible hardware configurations responding to different uses and different probes aimed at sensing specific phenomena. We also present our Matlab© based software developed to process the signals. Finally we will go through the different applications on which PDV was implemented, both in a detonics context (free surface, particles and Nitro Methane - or NM - characterization) and in lab experiments (measurement of laser driven shocks on metallic targets).

Velocimetry

10.1117/12.828188

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New heterodyne velocimeter and shock physics

DYMAT 2009 - 9th International Conferences on the Mechanical and Physical Behaviour of Materials under Dynamic Loading (2009)

Jacky Bénier Patrick P. Mercier E. Dubreuil J. Veaux P. Frugier

Heterodyne (poetry)

Heterodyne detection

10.1051/dymat/2009040

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Citations (3)