Ferrari, S., Ambrogio, S., Narracott, A.J. orcid.org/0000-0002-3068-6192 et al. (3 more authors) (2021) An encounter with Lattice Boltzmann for biomedical applications: interactive simulation to support clinical and design decisions. Journal of Engineering and Science in Medical Diagnostics and Therapy, 4 (3). 031002. ISSN 2572-7958
Abstract
Medical device design for personalised medicine requires sophisticated tools for optimisation of biomechanical and biofluidic devices. This paper investigates a new real-time tool for simulating structural and fluid scenarios - ANSYS Discovery Live - and we evaluate its capability in the fluid domain through benchmark flows that all involve steady state flow at the inlet and zero pressure at the outlet. Three scenarios are reported: i. Laminar flow in a straight pipe, ii. vortex shedding from the Karman Vortex, and iii. nozzle flows as characterised by an FDA benchmark geometry. The solver uses a Lattice Boltzmann method requiring a high performance GPU (nVidiaGTX1080, 8GB RAM). Results in each case were compared with the literature and demonstrated credible solutions, all delivered in near real-time: i. The straight pipe delivered parabolic flow after an appropriate entrance length (plug flow inlet conditions), ii. the Karman Vortex demonstrated appropriate vortex shedding as a function of Reynolds number, characterised by Strouhal number in both the free field and within a pipe, and ii the FDA benchmark geometry generated results consistent with the literature in terms of variation of velocity along the centreline and in the radial direction, although deviation from experimental validation was evident in the sudden expansion section of the geometry. This behaviour is similar to previous reported results from Navier-Stokes solvers. A cardiovascular stenosis example is also considered, to provide a more direct biomedical context. The current software framework imposes constraints on inlet/outlet boundary conditions, and only supports limited control of solver discretization without providing full field vector flow data outputs. Nonetheless, numerous benefits result from the interactive interface and almost-real-time solution, providing a tool that may help to accelerate the arrival of improved patient-specific medical devices.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The American Society of Mechanical Engineers. This is an author-produced version of a paper subsequently published in Journal of Engineering and Science in Medical Diagnostics and Therapy. Article available under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0). |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Sheffield Teaching Hospitals |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 May 2021 11:33 |
Last Modified: | 07 Jun 2022 00:38 |
Status: | Published |
Publisher: | ASME |
Refereed: | Yes |
Identification Number: | 10.1115/1.4051165 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:174421 |