X-ray tomography for fully-3D time-resolved reconstruction of bubbling fluidized beds
A new X-ray computed tomography technique for the purpose of imaging fluidized beds is presented. It consists of an experimental set-up with three stationary X-ray source and flat panel detector pairs, a geometric calibration and data processing workflow, and an image reconstruction algorithm. The t...
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Veröffentlicht in: | Powder technology 2024-02, Vol.434, p.119269, Article 119269 |
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creator | Graas, Adriaan B.M. Wagner, Evert C. van Leeuwen, Tristan van Ommen, J. Ruud Batenburg, K. Joost Lucka, Felix Portela, Luis M. |
description | A new X-ray computed tomography technique for the purpose of imaging fluidized beds is presented. It consists of an experimental set-up with three stationary X-ray source and flat panel detector pairs, a geometric calibration and data processing workflow, and an image reconstruction algorithm. The technique enables sparse-angular tomographic reconstruction in large 3D regions of fluidized beds at framerates up to 200 Hz, and therefore images bubbles along their whole trajectories through the volume. It allows for a unique analysis of bubble dynamics in fluidized beds, including bubble velocities, bubble transformations, i.e., time evolution of the bubble distributions in space, and bubble–bubble interactions. In this article, we first analyze the main limitation of the technique, the sparse angular resolution, through numerical simulations. We then test the experimental set-up through imaging a series of phantoms. Lastly, we demonstrate results from a Geldart B bubbling fluidized bed.
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•Computed Tomography set-up with three X-ray sources and three flat panel detectors.•Characterization of image reconstruction artifacts due to the sparse-angular view.•Fully-3D time-resolved reconstruction of Geldart B fluidized beds. |
doi_str_mv | 10.1016/j.powtec.2023.119269 |
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[Display omitted]
•Computed Tomography set-up with three X-ray sources and three flat panel detectors.•Characterization of image reconstruction artifacts due to the sparse-angular view.•Fully-3D time-resolved reconstruction of Geldart B fluidized beds.</description><identifier>ISSN: 0032-5910</identifier><identifier>EISSN: 1873-328X</identifier><identifier>DOI: 10.1016/j.powtec.2023.119269</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>algorithms ; Computed Tomography ; Dynamic imaging ; Fluidized beds ; Gas–solids ; geometry ; Iterative image reconstruction ; technology ; X-radiation ; X-ray imaging set-up</subject><ispartof>Powder technology, 2024-02, Vol.434, p.119269, Article 119269</ispartof><rights>2023 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-caafc69c44dd1012505560a2c4bd4dfa443d25701798918594a730661dfd1e293</citedby><cites>FETCH-LOGICAL-c385t-caafc69c44dd1012505560a2c4bd4dfa443d25701798918594a730661dfd1e293</cites><orcidid>0000-0002-8763-5177 ; 0009-0002-1151-2434 ; 0000-0001-7884-0323</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0032591023010525$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids></links><search><creatorcontrib>Graas, Adriaan B.M.</creatorcontrib><creatorcontrib>Wagner, Evert C.</creatorcontrib><creatorcontrib>van Leeuwen, Tristan</creatorcontrib><creatorcontrib>van Ommen, J. Ruud</creatorcontrib><creatorcontrib>Batenburg, K. Joost</creatorcontrib><creatorcontrib>Lucka, Felix</creatorcontrib><creatorcontrib>Portela, Luis M.</creatorcontrib><title>X-ray tomography for fully-3D time-resolved reconstruction of bubbling fluidized beds</title><title>Powder technology</title><description>A new X-ray computed tomography technique for the purpose of imaging fluidized beds is presented. It consists of an experimental set-up with three stationary X-ray source and flat panel detector pairs, a geometric calibration and data processing workflow, and an image reconstruction algorithm. The technique enables sparse-angular tomographic reconstruction in large 3D regions of fluidized beds at framerates up to 200 Hz, and therefore images bubbles along their whole trajectories through the volume. It allows for a unique analysis of bubble dynamics in fluidized beds, including bubble velocities, bubble transformations, i.e., time evolution of the bubble distributions in space, and bubble–bubble interactions. In this article, we first analyze the main limitation of the technique, the sparse angular resolution, through numerical simulations. We then test the experimental set-up through imaging a series of phantoms. Lastly, we demonstrate results from a Geldart B bubbling fluidized bed.
[Display omitted]
•Computed Tomography set-up with three X-ray sources and three flat panel detectors.•Characterization of image reconstruction artifacts due to the sparse-angular view.•Fully-3D time-resolved reconstruction of Geldart B fluidized beds.</description><subject>algorithms</subject><subject>Computed Tomography</subject><subject>Dynamic imaging</subject><subject>Fluidized beds</subject><subject>Gas–solids</subject><subject>geometry</subject><subject>Iterative image reconstruction</subject><subject>technology</subject><subject>X-radiation</subject><subject>X-ray imaging set-up</subject><issn>0032-5910</issn><issn>1873-328X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kDtPwzAAhC0EEqXwDxgysrj4lYcXJFSeUiUWKnWzHD-KqyQOtgMKv55UYeaWW-5Oug-Aa4xWGOHi9rDq_XcyakUQoSuMOSn4CVjgqqSQkmp3ChYIUQJzjtE5uIjxgBAqKEYLsN3BIMcs-dbvg-w_xsz6kNmhaUZIH7LkWgODib75MjoLRvkupjCo5HyXeZvVQ103rttnthmcdj9TqDY6XoIzK5torv58CbZPj-_rF7h5e35d32-golWeoJLSqoIrxrSejpAc5XmBJFGs1kxbyRjVJC8RLnnFcZVzJkuKigJrq7EhnC7BzbzbB_85mJhE66IyTSM744coKM5pSehRS8DmqAo-xmCs6INrZRgFRuJIURzETFEcKYqZ4lS7m2tmuvHlTBBROdMpo91EIwnt3f8Dv7n0fUM</recordid><startdate>20240201</startdate><enddate>20240201</enddate><creator>Graas, Adriaan B.M.</creator><creator>Wagner, Evert C.</creator><creator>van Leeuwen, Tristan</creator><creator>van Ommen, J. Ruud</creator><creator>Batenburg, K. Joost</creator><creator>Lucka, Felix</creator><creator>Portela, Luis M.</creator><general>Elsevier B.V</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0002-8763-5177</orcidid><orcidid>https://orcid.org/0009-0002-1151-2434</orcidid><orcidid>https://orcid.org/0000-0001-7884-0323</orcidid></search><sort><creationdate>20240201</creationdate><title>X-ray tomography for fully-3D time-resolved reconstruction of bubbling fluidized beds</title><author>Graas, Adriaan B.M. ; Wagner, Evert C. ; van Leeuwen, Tristan ; van Ommen, J. Ruud ; Batenburg, K. 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Joost</creatorcontrib><creatorcontrib>Lucka, Felix</creatorcontrib><creatorcontrib>Portela, Luis M.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Powder technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Graas, Adriaan B.M.</au><au>Wagner, Evert C.</au><au>van Leeuwen, Tristan</au><au>van Ommen, J. Ruud</au><au>Batenburg, K. Joost</au><au>Lucka, Felix</au><au>Portela, Luis M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>X-ray tomography for fully-3D time-resolved reconstruction of bubbling fluidized beds</atitle><jtitle>Powder technology</jtitle><date>2024-02-01</date><risdate>2024</risdate><volume>434</volume><spage>119269</spage><pages>119269-</pages><artnum>119269</artnum><issn>0032-5910</issn><eissn>1873-328X</eissn><abstract>A new X-ray computed tomography technique for the purpose of imaging fluidized beds is presented. It consists of an experimental set-up with three stationary X-ray source and flat panel detector pairs, a geometric calibration and data processing workflow, and an image reconstruction algorithm. The technique enables sparse-angular tomographic reconstruction in large 3D regions of fluidized beds at framerates up to 200 Hz, and therefore images bubbles along their whole trajectories through the volume. It allows for a unique analysis of bubble dynamics in fluidized beds, including bubble velocities, bubble transformations, i.e., time evolution of the bubble distributions in space, and bubble–bubble interactions. In this article, we first analyze the main limitation of the technique, the sparse angular resolution, through numerical simulations. We then test the experimental set-up through imaging a series of phantoms. Lastly, we demonstrate results from a Geldart B bubbling fluidized bed.
[Display omitted]
•Computed Tomography set-up with three X-ray sources and three flat panel detectors.•Characterization of image reconstruction artifacts due to the sparse-angular view.•Fully-3D time-resolved reconstruction of Geldart B fluidized beds.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.powtec.2023.119269</doi><orcidid>https://orcid.org/0000-0002-8763-5177</orcidid><orcidid>https://orcid.org/0009-0002-1151-2434</orcidid><orcidid>https://orcid.org/0000-0001-7884-0323</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | algorithms Computed Tomography Dynamic imaging Fluidized beds Gas–solids geometry Iterative image reconstruction technology X-radiation X-ray imaging set-up |
title | X-ray tomography for fully-3D time-resolved reconstruction of bubbling fluidized beds |
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