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

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Review of scientific instruments 2018-03, Vol.89 (3), p.033901-033901
Hauptverfasser: Franzkowiak, J.-E., Prudhomme, G., Mercier, P., Lauriot, S., Dubreuil, E., Berthe, L.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 033901
container_issue 3
container_start_page 033901
container_title Review of scientific instruments
container_volume 89
creator Franzkowiak, J.-E.
Prudhomme, G.
Mercier, P.
Lauriot, S.
Dubreuil, E.
Berthe, L.
description 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.
doi_str_mv 10.1063/1.4997365
format Article
fullrecord <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_02163209v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2020890177</sourcerecordid><originalsourceid>FETCH-LOGICAL-c389t-2625b722654abf221f153568a1521f8a704f9d2fe2e59a7f8561ce1d27b070883</originalsourceid><addsrcrecordid>eNp9kLtOwzAUQC0EoqUw8AMoIyCl2E5sJyMqjyJVggFYLce5VlOSuMRJRTd-g9_jS3AflA0vtqyjc3UPQqcEDwnm0RUZxmkqIs72UJ_gJA0Fp9E-6mMcxSEXcdJDR87NsD-MkEPUoynHsWC4j_TTzWuYKQd5AK4tKtUWtg6sCWAGulXBXDVtoUtw359fQaWcCxdQWl20y8B0tV7TprFV4KZWv4WlVblXtUUdwMccmqKCuj1GB0aVDk629wC93N0-j8bh5PH-YXQ9CXWUpG1IOWWZoJSzWGWGUmIIixhPFGH-nSiBY5Pm1AAFliphEsaJBpJTkWGBkyQaoIuNd6pKOfezVbOUVhVyfD2Rqz9MCY8oThfEs-cbdt7Y986vLqvCaShLVYPtnKSY-pCYCPGn1Y11rgGzcxMsV_0lkdv-nj3barusgnxH_gb3wOUGcL7hOvY_th_ZMYy7</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2020890177</pqid></control><display><type>article</type><title>PDV-based estimation of ejecta particles’ mass-velocity function from shock-loaded tin experiment</title><source>AIP Journals Complete</source><source>Alma/SFX Local Collection</source><creator>Franzkowiak, J.-E. ; Prudhomme, G. ; Mercier, P. ; Lauriot, S. ; Dubreuil, E. ; Berthe, L.</creator><creatorcontrib>Franzkowiak, J.-E. ; Prudhomme, G. ; Mercier, P. ; Lauriot, S. ; Dubreuil, E. ; Berthe, L.</creatorcontrib><description>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.</description><identifier>ISSN: 0034-6748</identifier><identifier>EISSN: 1089-7623</identifier><identifier>DOI: 10.1063/1.4997365</identifier><identifier>PMID: 29604750</identifier><identifier>CODEN: RSINAK</identifier><language>eng</language><publisher>United States: American Institute of Physics</publisher><subject>Engineering Sciences</subject><ispartof>Review of scientific instruments, 2018-03, Vol.89 (3), p.033901-033901</ispartof><rights>Author(s)</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c389t-2625b722654abf221f153568a1521f8a704f9d2fe2e59a7f8561ce1d27b070883</citedby><cites>FETCH-LOGICAL-c389t-2625b722654abf221f153568a1521f8a704f9d2fe2e59a7f8561ce1d27b070883</cites><orcidid>0000-0002-6910-1518 ; 0000-0002-9978-9843 ; 0000000299789843 ; 0000000269101518</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubs.aip.org/rsi/article-lookup/doi/10.1063/1.4997365$$EHTML$$P50$$Gscitation$$H</linktohtml><link.rule.ids>230,314,780,784,794,885,4510,27923,27924,76155</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29604750$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-02163209$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Franzkowiak, J.-E.</creatorcontrib><creatorcontrib>Prudhomme, G.</creatorcontrib><creatorcontrib>Mercier, P.</creatorcontrib><creatorcontrib>Lauriot, S.</creatorcontrib><creatorcontrib>Dubreuil, E.</creatorcontrib><creatorcontrib>Berthe, L.</creatorcontrib><title>PDV-based estimation of ejecta particles’ mass-velocity function from shock-loaded tin experiment</title><title>Review of scientific instruments</title><addtitle>Rev Sci Instrum</addtitle><description>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.</description><subject>Engineering Sciences</subject><issn>0034-6748</issn><issn>1089-7623</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kLtOwzAUQC0EoqUw8AMoIyCl2E5sJyMqjyJVggFYLce5VlOSuMRJRTd-g9_jS3AflA0vtqyjc3UPQqcEDwnm0RUZxmkqIs72UJ_gJA0Fp9E-6mMcxSEXcdJDR87NsD-MkEPUoynHsWC4j_TTzWuYKQd5AK4tKtUWtg6sCWAGulXBXDVtoUtw359fQaWcCxdQWl20y8B0tV7TprFV4KZWv4WlVblXtUUdwMccmqKCuj1GB0aVDk629wC93N0-j8bh5PH-YXQ9CXWUpG1IOWWZoJSzWGWGUmIIixhPFGH-nSiBY5Pm1AAFliphEsaJBpJTkWGBkyQaoIuNd6pKOfezVbOUVhVyfD2Rqz9MCY8oThfEs-cbdt7Y986vLqvCaShLVYPtnKSY-pCYCPGn1Y11rgGzcxMsV_0lkdv-nj3barusgnxH_gb3wOUGcL7hOvY_th_ZMYy7</recordid><startdate>20180301</startdate><enddate>20180301</enddate><creator>Franzkowiak, J.-E.</creator><creator>Prudhomme, G.</creator><creator>Mercier, P.</creator><creator>Lauriot, S.</creator><creator>Dubreuil, E.</creator><creator>Berthe, L.</creator><general>American Institute of Physics</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-6910-1518</orcidid><orcidid>https://orcid.org/0000-0002-9978-9843</orcidid><orcidid>https://orcid.org/0000000299789843</orcidid><orcidid>https://orcid.org/0000000269101518</orcidid></search><sort><creationdate>20180301</creationdate><title>PDV-based estimation of ejecta particles’ mass-velocity function from shock-loaded tin experiment</title><author>Franzkowiak, J.-E. ; Prudhomme, G. ; Mercier, P. ; Lauriot, S. ; Dubreuil, E. ; Berthe, L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c389t-2625b722654abf221f153568a1521f8a704f9d2fe2e59a7f8561ce1d27b070883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Engineering Sciences</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Franzkowiak, J.-E.</creatorcontrib><creatorcontrib>Prudhomme, G.</creatorcontrib><creatorcontrib>Mercier, P.</creatorcontrib><creatorcontrib>Lauriot, S.</creatorcontrib><creatorcontrib>Dubreuil, E.</creatorcontrib><creatorcontrib>Berthe, L.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Review of scientific instruments</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Franzkowiak, J.-E.</au><au>Prudhomme, G.</au><au>Mercier, P.</au><au>Lauriot, S.</au><au>Dubreuil, E.</au><au>Berthe, L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PDV-based estimation of ejecta particles’ mass-velocity function from shock-loaded tin experiment</atitle><jtitle>Review of scientific instruments</jtitle><addtitle>Rev Sci Instrum</addtitle><date>2018-03-01</date><risdate>2018</risdate><volume>89</volume><issue>3</issue><spage>033901</spage><epage>033901</epage><pages>033901-033901</pages><issn>0034-6748</issn><eissn>1089-7623</eissn><coden>RSINAK</coden><abstract>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.</abstract><cop>United States</cop><pub>American Institute of Physics</pub><pmid>29604750</pmid><doi>10.1063/1.4997365</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-6910-1518</orcidid><orcidid>https://orcid.org/0000-0002-9978-9843</orcidid><orcidid>https://orcid.org/0000000299789843</orcidid><orcidid>https://orcid.org/0000000269101518</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0034-6748
ispartof Review of scientific instruments, 2018-03, Vol.89 (3), p.033901-033901
issn 0034-6748
1089-7623
language eng
recordid cdi_hal_primary_oai_HAL_hal_02163209v1
source AIP Journals Complete; Alma/SFX Local Collection
subjects Engineering Sciences
title PDV-based estimation of ejecta particles’ mass-velocity function from shock-loaded tin experiment
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T01%3A06%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=PDV-based%20estimation%20of%20ejecta%20particles%E2%80%99%20mass-velocity%20function%20from%20shock-loaded%20tin%20experiment&rft.jtitle=Review%20of%20scientific%20instruments&rft.au=Franzkowiak,%20J.-E.&rft.date=2018-03-01&rft.volume=89&rft.issue=3&rft.spage=033901&rft.epage=033901&rft.pages=033901-033901&rft.issn=0034-6748&rft.eissn=1089-7623&rft.coden=RSINAK&rft_id=info:doi/10.1063/1.4997365&rft_dat=%3Cproquest_hal_p%3E2020890177%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2020890177&rft_id=info:pmid/29604750&rfr_iscdi=true