A novel method for the estimation of the acoustic bubble radius distribution

[Display omitted] •An image processing is used to determine the acoustic bubble-radius distribution.•Our method is robust against intensity inhomogeneity and unwanted image objects.•The bubble-radius distribution is obtained for the different ultrasonic conditions. The ultrasonic irradiation of a li...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Measurement : journal of the International Measurement Confederation 2020-03, Vol.154, p.107497, Article 107497
Hauptverfasser: Hajnorouzi, Abazar, Foruzan, Amir Hossein
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page 107497
container_title Measurement : journal of the International Measurement Confederation
container_volume 154
creator Hajnorouzi, Abazar
Foruzan, Amir Hossein
description [Display omitted] •An image processing is used to determine the acoustic bubble-radius distribution.•Our method is robust against intensity inhomogeneity and unwanted image objects.•The bubble-radius distribution is obtained for the different ultrasonic conditions. The ultrasonic irradiation of a liquid generates acoustic bubbles. Collapsed bubbles in the acoustic pressure create a hot spot condition consisting of high temperature and pressure. Determining the size of the bubbles is vital in the characterization of the corresponding ultrasound wave and the hot spot condition. In this paper, we estimate the distribution of the radius of acoustic bubbles by an image processing technique based on the Principal Component Analysis. We automatically measure the velocity of the bubbles, calculate their radius, and compare the percentage of small/large bubbles and bubble clusters from their radius distribution. We performed several experiments using ultrasonic horn tips of various diameters and ultrasound powers. The results showed that the mean bubble size for a 3 mm tip is 75.66 µm and 82.36 µm in 5 W and 23 W radiation powers, while for a 20 mm tip, the size is 98.3 µm and 109.06 µm for 80 W and 260 W powers, respectively.
doi_str_mv 10.1016/j.measurement.2020.107497
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2432886555</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0263224120300348</els_id><sourcerecordid>2432886555</sourcerecordid><originalsourceid>FETCH-LOGICAL-c349t-a8a23e6f8af22ad2cbc3cd0dd7eceb3e5d077096440ba4912e6f3d68987f87aa3</originalsourceid><addsrcrecordid>eNqNkEtLxDAUhYMoOI7-h4jrjnm1aZfD4AsG3Ci4C2lyy6RMmzFJB_z3po4Ll64uHL5z7r0HoVtKVpTQ6r5fDaDjFGCAMa0YYbMuRSPP0ILWkheCso9ztCCs4gVjgl6iqxh7QkjFm2qBtms8-iPs8QBp5y3ufMBpBxhicoNOzo_Ydz-KNn7KosHt1LZ7wEFbN0VsXUzBtdOMXqOLTu8j3PzOJXp_fHjbPBfb16eXzXpbGC6aVOhaMw5VV-uOMW2ZaQ03llgrwUDLobREStJUQpBWi4ayzHJb1U0tu1pqzZfo7pR7CP5zyqeq3k9hzCsVE5zVdVWWZaaaE2WCjzFApw4h_xS-FCVqLk_16k95ai5PncrL3s3JC_mNo4OgonEwGrAugEnKevePlG9x6n-b</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2432886555</pqid></control><display><type>article</type><title>A novel method for the estimation of the acoustic bubble radius distribution</title><source>Access via ScienceDirect (Elsevier)</source><creator>Hajnorouzi, Abazar ; Foruzan, Amir Hossein</creator><creatorcontrib>Hajnorouzi, Abazar ; Foruzan, Amir Hossein</creatorcontrib><description>[Display omitted] •An image processing is used to determine the acoustic bubble-radius distribution.•Our method is robust against intensity inhomogeneity and unwanted image objects.•The bubble-radius distribution is obtained for the different ultrasonic conditions. The ultrasonic irradiation of a liquid generates acoustic bubbles. Collapsed bubbles in the acoustic pressure create a hot spot condition consisting of high temperature and pressure. Determining the size of the bubbles is vital in the characterization of the corresponding ultrasound wave and the hot spot condition. In this paper, we estimate the distribution of the radius of acoustic bubbles by an image processing technique based on the Principal Component Analysis. We automatically measure the velocity of the bubbles, calculate their radius, and compare the percentage of small/large bubbles and bubble clusters from their radius distribution. We performed several experiments using ultrasonic horn tips of various diameters and ultrasound powers. The results showed that the mean bubble size for a 3 mm tip is 75.66 µm and 82.36 µm in 5 W and 23 W radiation powers, while for a 20 mm tip, the size is 98.3 µm and 109.06 µm for 80 W and 260 W powers, respectively.</description><identifier>ISSN: 0263-2241</identifier><identifier>EISSN: 1873-412X</identifier><identifier>DOI: 10.1016/j.measurement.2020.107497</identifier><language>eng</language><publisher>London: Elsevier Ltd</publisher><subject>Acoustics ; Bubbles ; Diameters ; Distribution of radius of acoustic bubbles ; Estimating techniques ; High temperature ; Image analysis ; Image processing ; Principal component analysis ; Principal components analysis ; Tip diameter ; Ultrasonic horn ; Ultrasonic imaging ; Ultrasound</subject><ispartof>Measurement : journal of the International Measurement Confederation, 2020-03, Vol.154, p.107497, Article 107497</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Mar 15, 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-a8a23e6f8af22ad2cbc3cd0dd7eceb3e5d077096440ba4912e6f3d68987f87aa3</citedby><cites>FETCH-LOGICAL-c349t-a8a23e6f8af22ad2cbc3cd0dd7eceb3e5d077096440ba4912e6f3d68987f87aa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.measurement.2020.107497$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Hajnorouzi, Abazar</creatorcontrib><creatorcontrib>Foruzan, Amir Hossein</creatorcontrib><title>A novel method for the estimation of the acoustic bubble radius distribution</title><title>Measurement : journal of the International Measurement Confederation</title><description>[Display omitted] •An image processing is used to determine the acoustic bubble-radius distribution.•Our method is robust against intensity inhomogeneity and unwanted image objects.•The bubble-radius distribution is obtained for the different ultrasonic conditions. The ultrasonic irradiation of a liquid generates acoustic bubbles. Collapsed bubbles in the acoustic pressure create a hot spot condition consisting of high temperature and pressure. Determining the size of the bubbles is vital in the characterization of the corresponding ultrasound wave and the hot spot condition. In this paper, we estimate the distribution of the radius of acoustic bubbles by an image processing technique based on the Principal Component Analysis. We automatically measure the velocity of the bubbles, calculate their radius, and compare the percentage of small/large bubbles and bubble clusters from their radius distribution. We performed several experiments using ultrasonic horn tips of various diameters and ultrasound powers. The results showed that the mean bubble size for a 3 mm tip is 75.66 µm and 82.36 µm in 5 W and 23 W radiation powers, while for a 20 mm tip, the size is 98.3 µm and 109.06 µm for 80 W and 260 W powers, respectively.</description><subject>Acoustics</subject><subject>Bubbles</subject><subject>Diameters</subject><subject>Distribution of radius of acoustic bubbles</subject><subject>Estimating techniques</subject><subject>High temperature</subject><subject>Image analysis</subject><subject>Image processing</subject><subject>Principal component analysis</subject><subject>Principal components analysis</subject><subject>Tip diameter</subject><subject>Ultrasonic horn</subject><subject>Ultrasonic imaging</subject><subject>Ultrasound</subject><issn>0263-2241</issn><issn>1873-412X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqNkEtLxDAUhYMoOI7-h4jrjnm1aZfD4AsG3Ci4C2lyy6RMmzFJB_z3po4Ll64uHL5z7r0HoVtKVpTQ6r5fDaDjFGCAMa0YYbMuRSPP0ILWkheCso9ztCCs4gVjgl6iqxh7QkjFm2qBtms8-iPs8QBp5y3ufMBpBxhicoNOzo_Ydz-KNn7KosHt1LZ7wEFbN0VsXUzBtdOMXqOLTu8j3PzOJXp_fHjbPBfb16eXzXpbGC6aVOhaMw5VV-uOMW2ZaQ03llgrwUDLobREStJUQpBWi4ayzHJb1U0tu1pqzZfo7pR7CP5zyqeq3k9hzCsVE5zVdVWWZaaaE2WCjzFApw4h_xS-FCVqLk_16k95ai5PncrL3s3JC_mNo4OgonEwGrAugEnKevePlG9x6n-b</recordid><startdate>20200315</startdate><enddate>20200315</enddate><creator>Hajnorouzi, Abazar</creator><creator>Foruzan, Amir Hossein</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20200315</creationdate><title>A novel method for the estimation of the acoustic bubble radius distribution</title><author>Hajnorouzi, Abazar ; Foruzan, Amir Hossein</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-a8a23e6f8af22ad2cbc3cd0dd7eceb3e5d077096440ba4912e6f3d68987f87aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Acoustics</topic><topic>Bubbles</topic><topic>Diameters</topic><topic>Distribution of radius of acoustic bubbles</topic><topic>Estimating techniques</topic><topic>High temperature</topic><topic>Image analysis</topic><topic>Image processing</topic><topic>Principal component analysis</topic><topic>Principal components analysis</topic><topic>Tip diameter</topic><topic>Ultrasonic horn</topic><topic>Ultrasonic imaging</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hajnorouzi, Abazar</creatorcontrib><creatorcontrib>Foruzan, Amir Hossein</creatorcontrib><collection>CrossRef</collection><jtitle>Measurement : journal of the International Measurement Confederation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hajnorouzi, Abazar</au><au>Foruzan, Amir Hossein</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel method for the estimation of the acoustic bubble radius distribution</atitle><jtitle>Measurement : journal of the International Measurement Confederation</jtitle><date>2020-03-15</date><risdate>2020</risdate><volume>154</volume><spage>107497</spage><pages>107497-</pages><artnum>107497</artnum><issn>0263-2241</issn><eissn>1873-412X</eissn><abstract>[Display omitted] •An image processing is used to determine the acoustic bubble-radius distribution.•Our method is robust against intensity inhomogeneity and unwanted image objects.•The bubble-radius distribution is obtained for the different ultrasonic conditions. The ultrasonic irradiation of a liquid generates acoustic bubbles. Collapsed bubbles in the acoustic pressure create a hot spot condition consisting of high temperature and pressure. Determining the size of the bubbles is vital in the characterization of the corresponding ultrasound wave and the hot spot condition. In this paper, we estimate the distribution of the radius of acoustic bubbles by an image processing technique based on the Principal Component Analysis. We automatically measure the velocity of the bubbles, calculate their radius, and compare the percentage of small/large bubbles and bubble clusters from their radius distribution. We performed several experiments using ultrasonic horn tips of various diameters and ultrasound powers. The results showed that the mean bubble size for a 3 mm tip is 75.66 µm and 82.36 µm in 5 W and 23 W radiation powers, while for a 20 mm tip, the size is 98.3 µm and 109.06 µm for 80 W and 260 W powers, respectively.</abstract><cop>London</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.measurement.2020.107497</doi></addata></record>
fulltext fulltext
identifier ISSN: 0263-2241
ispartof Measurement : journal of the International Measurement Confederation, 2020-03, Vol.154, p.107497, Article 107497
issn 0263-2241
1873-412X
language eng
recordid cdi_proquest_journals_2432886555
source Access via ScienceDirect (Elsevier)
subjects Acoustics
Bubbles
Diameters
Distribution of radius of acoustic bubbles
Estimating techniques
High temperature
Image analysis
Image processing
Principal component analysis
Principal components analysis
Tip diameter
Ultrasonic horn
Ultrasonic imaging
Ultrasound
title A novel method for the estimation of the acoustic bubble radius distribution
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T23%3A17%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20novel%20method%20for%20the%20estimation%20of%20the%20acoustic%20bubble%20radius%20distribution&rft.jtitle=Measurement%20:%20journal%20of%20the%20International%20Measurement%20Confederation&rft.au=Hajnorouzi,%20Abazar&rft.date=2020-03-15&rft.volume=154&rft.spage=107497&rft.pages=107497-&rft.artnum=107497&rft.issn=0263-2241&rft.eissn=1873-412X&rft_id=info:doi/10.1016/j.measurement.2020.107497&rft_dat=%3Cproquest_cross%3E2432886555%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2432886555&rft_id=info:pmid/&rft_els_id=S0263224120300348&rfr_iscdi=true