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Dataset to support the Southampton Doctoral Thesis entitled Development of Methodological Platforms for Pre-Clinical Optimisation of Sclerotherapy

Dataset to support the Southampton Doctoral Thesis entitled Development of Methodological Platforms for Pre-Clinical Optimisation of Sclerotherapy
Dataset to support the Southampton Doctoral Thesis entitled Development of Methodological Platforms for Pre-Clinical Optimisation of Sclerotherapy
The dataset contains CFD animations corresponding to Chapter IV.4.2 of the thesis. Data depicts the multiphase injection of a sclerosing foam modelled as a compressible Herschel-Bulkley fluid into a horizontal tube (4.48 mm ID, 10 cm Length) with the continuous phase modelled as a Cross fluid resembling the rheological properties of human whole blood.
CFD, Sclerotherapy, Ansys, Fluent, Multiphase, Transient
University of Southampton
Meghdadi, Alireza
2f3003a8-1b77-4763-9657-19a72b04c728
Yang, Xiaohan
ef83d2f3-47ae-4aaa-aa22-81a7a35e01fb
Carugo, Dario
0a4be6cd-e309-4ed8-a620-20256ce01179
Meghdadi, Alireza
2f3003a8-1b77-4763-9657-19a72b04c728
Yang, Xiaohan
ef83d2f3-47ae-4aaa-aa22-81a7a35e01fb
Carugo, Dario
0a4be6cd-e309-4ed8-a620-20256ce01179

Meghdadi, Alireza (2022) Dataset to support the Southampton Doctoral Thesis entitled Development of Methodological Platforms for Pre-Clinical Optimisation of Sclerotherapy. University of Southampton doi:10.5258/SOTON/D2297 [Dataset]

Record type: Dataset

Abstract

The dataset contains CFD animations corresponding to Chapter IV.4.2 of the thesis. Data depicts the multiphase injection of a sclerosing foam modelled as a compressible Herschel-Bulkley fluid into a horizontal tube (4.48 mm ID, 10 cm Length) with the continuous phase modelled as a Cross fluid resembling the rheological properties of human whole blood.

Text
readme.txt - Dataset
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Archive
inSilicoSclerotherapyAnimations.zip - Dataset
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More information

Published date: 15 June 2022
Keywords: CFD, Sclerotherapy, Ansys, Fluent, Multiphase, Transient

Identifiers

Local EPrints ID: 478548
URI: http://eprints.soton.ac.uk/id/eprint/478548
PURE UUID: 07be246c-c065-4aa6-9374-bd377ea0c066

Catalogue record

Date deposited: 04 Jul 2023 17:49
Last modified: 04 Jul 2023 17:49

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Contributors

Creator: Alireza Meghdadi
Contributor: Xiaohan Yang
Research team head: Dario Carugo

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