The BubbleTree toolset: CFD-integrated algorithm for Lagrangian tracking and rigorous statistical analysis of bubble motion and gas fluxes for application to 3D fluidized bed simulations.
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| Title: | The BubbleTree toolset: CFD-integrated algorithm for Lagrangian tracking and rigorous statistical analysis of bubble motion and gas fluxes for application to 3D fluidized bed simulations. |
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| Authors: | Buchheit, K.1,2, Altantzis, C.1,3, Bakshi, A.1,3, Jordan, T.1, Van Essendelft, D.1 dirk.vanessendelft@netl.doe.gov |
| Source: | Powder Technology. Oct2018, Vol. 338, p960-974. 15p. |
| Subjects: | Bubbles, Computational fluid dynamics, Lagrangian functions, Fluidized bed gasifiers, Solution (Chemistry) |
| Abstract: | Bubbling dynamics and distribution of gas flow critically influence the performance of fluidized bed reactors and must be quantified accurately for their design and performance optimization. In this study, a new toolset called the BubbleTree toolset (BT) was developed using Python and the Visualization Tool Kit (VTK) for analyzing computational fluid dynamics simulation data and performing statistical analysis of bubbling dynamics such as their volume, location, and velocity. In addition, the BT toolset provides the capability to (a) track bubbles through coalescence and splitting events and (b) compute throughflow by integrating gas fluxes through the bubble surface. The toolkit was verified using the method of manufactured solutions as well as by comparing bubbling dynamics predictions in large-scale simulations with relevant open-source software. The BT toolset also incorporates tools for rigorous statistical analysis in selected regions of interest as well as the reactor in its entirety. The BT will be integrated with MFiX CFD simulations which will enable the fundamental investigation of gas-solids flow interaction in complex reacting particulate flows, in situ estimation of bubbling (and cluster) dynamics dependent sub-grid models and performance optimization of fluidized bed reactors using CFD-simulations. [ABSTRACT FROM AUTHOR] |
| Copyright of Powder Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 131469148 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The BubbleTree toolset: CFD-integrated algorithm for Lagrangian tracking and rigorous statistical analysis of bubble motion and gas fluxes for application to 3D fluidized bed simulations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Buchheit%2C+K%2E%22">Buchheit, K.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Altantzis%2C+C%2E%22">Altantzis, C.</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Bakshi%2C+A%2E%22">Bakshi, A.</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Jordan%2C+T%2E%22">Jordan, T.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Van+Essendelft%2C+D%2E%22">Van Essendelft, D.</searchLink><relatesTo>1</relatesTo><i> dirk.vanessendelft@netl.doe.gov</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Powder+Technology%22">Powder Technology</searchLink>. Oct2018, Vol. 338, p960-974. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Bubbles%22">Bubbles</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+fluid+dynamics%22">Computational fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Lagrangian+functions%22">Lagrangian functions</searchLink><br /><searchLink fieldCode="DE" term="%22Fluidized+bed+gasifiers%22">Fluidized bed gasifiers</searchLink><br /><searchLink fieldCode="DE" term="%22Solution+%28Chemistry%29%22">Solution (Chemistry)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Bubbling dynamics and distribution of gas flow critically influence the performance of fluidized bed reactors and must be quantified accurately for their design and performance optimization. In this study, a new toolset called the BubbleTree toolset (BT) was developed using Python and the Visualization Tool Kit (VTK) for analyzing computational fluid dynamics simulation data and performing statistical analysis of bubbling dynamics such as their volume, location, and velocity. In addition, the BT toolset provides the capability to (a) track bubbles through coalescence and splitting events and (b) compute throughflow by integrating gas fluxes through the bubble surface. The toolkit was verified using the method of manufactured solutions as well as by comparing bubbling dynamics predictions in large-scale simulations with relevant open-source software. The BT toolset also incorporates tools for rigorous statistical analysis in selected regions of interest as well as the reactor in its entirety. The BT will be integrated with MFiX CFD simulations which will enable the fundamental investigation of gas-solids flow interaction in complex reacting particulate flows, in situ estimation of bubbling (and cluster) dynamics dependent sub-grid models and performance optimization of fluidized bed reactors using CFD-simulations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Powder Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.powtec.2018.07.053 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 960 Subjects: – SubjectFull: Bubbles Type: general – SubjectFull: Computational fluid dynamics Type: general – SubjectFull: Lagrangian functions Type: general – SubjectFull: Fluidized bed gasifiers Type: general – SubjectFull: Solution (Chemistry) Type: general Titles: – TitleFull: The BubbleTree toolset: CFD-integrated algorithm for Lagrangian tracking and rigorous statistical analysis of bubble motion and gas fluxes for application to 3D fluidized bed simulations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Buchheit, K. – PersonEntity: Name: NameFull: Altantzis, C. – PersonEntity: Name: NameFull: Bakshi, A. – PersonEntity: Name: NameFull: Jordan, T. – PersonEntity: Name: NameFull: Van Essendelft, D. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 00325910 Numbering: – Type: volume Value: 338 Titles: – TitleFull: Powder Technology Type: main |
| ResultId | 1 |
