Loading…
Uncertainty Quantification of Super-Resolution Flow Mapping in Liquid Metals using Ultrasound Localization Microscopy
Convection of liquid metals drives large natural processes and is important in technical processes. Model experiments are conducted for research purposes where simulations are expensive and the clarification of open questions requires novel flow mapping methods with an increased spatial resolution....
Saved in:
Published in: | arXiv.org 2024-04 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | |
container_issue | |
container_start_page | |
container_title | arXiv.org |
container_volume | |
creator | Weik, David Dou, Zehua Räbiger, Dirk Vogt, Tobias Eckert, Sven Czarske, Jürgen Büttner, Lars |
description | Convection of liquid metals drives large natural processes and is important in technical processes. Model experiments are conducted for research purposes where simulations are expensive and the clarification of open questions requires novel flow mapping methods with an increased spatial resolution. In this work, the method of Ultrasound Localization Microscopy (ULM) is investigated for this purpose. Known from microvasculature imaging, this method provides an increased spatial resolution beyond the diffraction limit. Its applicability in liquid metal flows is promising, however the realization and reliability is challenging, as artificial scattering particles or microbubbles cannot be utilized. To solve this issue an approach using nonlinear adaptive beamforming is proposed. This allowed the reliable tracking of particles of which super-resolved flow maps can be deduced. Furthermore, the application in fluid physics requires quantified results. Therefore, an uncertainty quantification model based on the spatial resolution, velocity gradient and measurement parameters is proposed, which allows to estimate the flow maps validity under experimental conditions. The proposed method is demonstrated in magnetohydrodynamic convection experiments. In some occasions, ULM was able to measure velocity vectors within the boundary layer of the flow, which will help for future in-depth flow studies. Furthermore, the proposed uncertainty model of ULM is of generic use in other applications. |
format | article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_3040956501</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3040956501</sourcerecordid><originalsourceid>FETCH-proquest_journals_30409565013</originalsourceid><addsrcrecordid>eNqNjM1qAjEURkNBqFTf4ULXA5lkxuq6VLqYWdR21kOIGbkScmOSS9Gn1_48gKsPznc4D2KutK6rdaPUo1jmfJRSqtWLals9FzwE61IxGMoZPtiEghNaU5AC0ASfHF2qdi6T51-29fQNvYkRwwEwQIcnxj30rhifgfMPHnxJJhOHPXRkjcfLX69HmyhbiueFmE033y3_90k8b9--Xt-rmOjELpfxSJzC7Rq1bOSmXbWy1vdZVyCkTcc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3040956501</pqid></control><display><type>article</type><title>Uncertainty Quantification of Super-Resolution Flow Mapping in Liquid Metals using Ultrasound Localization Microscopy</title><source>Publicly Available Content (ProQuest)</source><creator>Weik, David ; Dou, Zehua ; Räbiger, Dirk ; Vogt, Tobias ; Eckert, Sven ; Czarske, Jürgen ; Büttner, Lars</creator><creatorcontrib>Weik, David ; Dou, Zehua ; Räbiger, Dirk ; Vogt, Tobias ; Eckert, Sven ; Czarske, Jürgen ; Büttner, Lars</creatorcontrib><description>Convection of liquid metals drives large natural processes and is important in technical processes. Model experiments are conducted for research purposes where simulations are expensive and the clarification of open questions requires novel flow mapping methods with an increased spatial resolution. In this work, the method of Ultrasound Localization Microscopy (ULM) is investigated for this purpose. Known from microvasculature imaging, this method provides an increased spatial resolution beyond the diffraction limit. Its applicability in liquid metal flows is promising, however the realization and reliability is challenging, as artificial scattering particles or microbubbles cannot be utilized. To solve this issue an approach using nonlinear adaptive beamforming is proposed. This allowed the reliable tracking of particles of which super-resolved flow maps can be deduced. Furthermore, the application in fluid physics requires quantified results. Therefore, an uncertainty quantification model based on the spatial resolution, velocity gradient and measurement parameters is proposed, which allows to estimate the flow maps validity under experimental conditions. The proposed method is demonstrated in magnetohydrodynamic convection experiments. In some occasions, ULM was able to measure velocity vectors within the boundary layer of the flow, which will help for future in-depth flow studies. Furthermore, the proposed uncertainty model of ULM is of generic use in other applications.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Beamforming ; Boundary layers ; Convection ; Flow mapping ; Liquid metals ; Localization ; Microscopy ; Spatial resolution ; Ultrasonic imaging ; Ultrasonic testing ; Uncertainty ; Velocity gradient</subject><ispartof>arXiv.org, 2024-04</ispartof><rights>2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/3040956501?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>780,784,25753,37012,44590</link.rule.ids></links><search><creatorcontrib>Weik, David</creatorcontrib><creatorcontrib>Dou, Zehua</creatorcontrib><creatorcontrib>Räbiger, Dirk</creatorcontrib><creatorcontrib>Vogt, Tobias</creatorcontrib><creatorcontrib>Eckert, Sven</creatorcontrib><creatorcontrib>Czarske, Jürgen</creatorcontrib><creatorcontrib>Büttner, Lars</creatorcontrib><title>Uncertainty Quantification of Super-Resolution Flow Mapping in Liquid Metals using Ultrasound Localization Microscopy</title><title>arXiv.org</title><description>Convection of liquid metals drives large natural processes and is important in technical processes. Model experiments are conducted for research purposes where simulations are expensive and the clarification of open questions requires novel flow mapping methods with an increased spatial resolution. In this work, the method of Ultrasound Localization Microscopy (ULM) is investigated for this purpose. Known from microvasculature imaging, this method provides an increased spatial resolution beyond the diffraction limit. Its applicability in liquid metal flows is promising, however the realization and reliability is challenging, as artificial scattering particles or microbubbles cannot be utilized. To solve this issue an approach using nonlinear adaptive beamforming is proposed. This allowed the reliable tracking of particles of which super-resolved flow maps can be deduced. Furthermore, the application in fluid physics requires quantified results. Therefore, an uncertainty quantification model based on the spatial resolution, velocity gradient and measurement parameters is proposed, which allows to estimate the flow maps validity under experimental conditions. The proposed method is demonstrated in magnetohydrodynamic convection experiments. In some occasions, ULM was able to measure velocity vectors within the boundary layer of the flow, which will help for future in-depth flow studies. Furthermore, the proposed uncertainty model of ULM is of generic use in other applications.</description><subject>Beamforming</subject><subject>Boundary layers</subject><subject>Convection</subject><subject>Flow mapping</subject><subject>Liquid metals</subject><subject>Localization</subject><subject>Microscopy</subject><subject>Spatial resolution</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonic testing</subject><subject>Uncertainty</subject><subject>Velocity gradient</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqNjM1qAjEURkNBqFTf4ULXA5lkxuq6VLqYWdR21kOIGbkScmOSS9Gn1_48gKsPznc4D2KutK6rdaPUo1jmfJRSqtWLals9FzwE61IxGMoZPtiEghNaU5AC0ASfHF2qdi6T51-29fQNvYkRwwEwQIcnxj30rhifgfMPHnxJJhOHPXRkjcfLX69HmyhbiueFmE033y3_90k8b9--Xt-rmOjELpfxSJzC7Rq1bOSmXbWy1vdZVyCkTcc</recordid><startdate>20240416</startdate><enddate>20240416</enddate><creator>Weik, David</creator><creator>Dou, Zehua</creator><creator>Räbiger, Dirk</creator><creator>Vogt, Tobias</creator><creator>Eckert, Sven</creator><creator>Czarske, Jürgen</creator><creator>Büttner, Lars</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20240416</creationdate><title>Uncertainty Quantification of Super-Resolution Flow Mapping in Liquid Metals using Ultrasound Localization Microscopy</title><author>Weik, David ; Dou, Zehua ; Räbiger, Dirk ; Vogt, Tobias ; Eckert, Sven ; Czarske, Jürgen ; Büttner, Lars</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_30409565013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Beamforming</topic><topic>Boundary layers</topic><topic>Convection</topic><topic>Flow mapping</topic><topic>Liquid metals</topic><topic>Localization</topic><topic>Microscopy</topic><topic>Spatial resolution</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonic testing</topic><topic>Uncertainty</topic><topic>Velocity gradient</topic><toplevel>online_resources</toplevel><creatorcontrib>Weik, David</creatorcontrib><creatorcontrib>Dou, Zehua</creatorcontrib><creatorcontrib>Räbiger, Dirk</creatorcontrib><creatorcontrib>Vogt, Tobias</creatorcontrib><creatorcontrib>Eckert, Sven</creatorcontrib><creatorcontrib>Czarske, Jürgen</creatorcontrib><creatorcontrib>Büttner, Lars</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Weik, David</au><au>Dou, Zehua</au><au>Räbiger, Dirk</au><au>Vogt, Tobias</au><au>Eckert, Sven</au><au>Czarske, Jürgen</au><au>Büttner, Lars</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Uncertainty Quantification of Super-Resolution Flow Mapping in Liquid Metals using Ultrasound Localization Microscopy</atitle><jtitle>arXiv.org</jtitle><date>2024-04-16</date><risdate>2024</risdate><eissn>2331-8422</eissn><abstract>Convection of liquid metals drives large natural processes and is important in technical processes. Model experiments are conducted for research purposes where simulations are expensive and the clarification of open questions requires novel flow mapping methods with an increased spatial resolution. In this work, the method of Ultrasound Localization Microscopy (ULM) is investigated for this purpose. Known from microvasculature imaging, this method provides an increased spatial resolution beyond the diffraction limit. Its applicability in liquid metal flows is promising, however the realization and reliability is challenging, as artificial scattering particles or microbubbles cannot be utilized. To solve this issue an approach using nonlinear adaptive beamforming is proposed. This allowed the reliable tracking of particles of which super-resolved flow maps can be deduced. Furthermore, the application in fluid physics requires quantified results. Therefore, an uncertainty quantification model based on the spatial resolution, velocity gradient and measurement parameters is proposed, which allows to estimate the flow maps validity under experimental conditions. The proposed method is demonstrated in magnetohydrodynamic convection experiments. In some occasions, ULM was able to measure velocity vectors within the boundary layer of the flow, which will help for future in-depth flow studies. Furthermore, the proposed uncertainty model of ULM is of generic use in other applications.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | EISSN: 2331-8422 |
ispartof | arXiv.org, 2024-04 |
issn | 2331-8422 |
language | eng |
recordid | cdi_proquest_journals_3040956501 |
source | Publicly Available Content (ProQuest) |
subjects | Beamforming Boundary layers Convection Flow mapping Liquid metals Localization Microscopy Spatial resolution Ultrasonic imaging Ultrasonic testing Uncertainty Velocity gradient |
title | Uncertainty Quantification of Super-Resolution Flow Mapping in Liquid Metals using Ultrasound Localization Microscopy |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T22%3A04%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=document&rft.atitle=Uncertainty%20Quantification%20of%20Super-Resolution%20Flow%20Mapping%20in%20Liquid%20Metals%20using%20Ultrasound%20Localization%20Microscopy&rft.jtitle=arXiv.org&rft.au=Weik,%20David&rft.date=2024-04-16&rft.eissn=2331-8422&rft_id=info:doi/&rft_dat=%3Cproquest%3E3040956501%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-proquest_journals_30409565013%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3040956501&rft_id=info:pmid/&rfr_iscdi=true |