The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
A mathematical model for blood flow in magnetic field
Abstract
In the present study a mathematical model of biomagnetic fluid dynamics (BFD), suitable for the description of the Newtonian blood flow under the action of an applied magnetic field, is proposed. This model is consistent with the principles of ferrohydrodynamics and magnetohydrodynamics and takes into account both magnetization and electrical conductivity of blood. As a representative application the laminar, incompressible, three-dimensional, fully developed viscous flow of a Newtonian biomagnetic fluid (blood) in a straight rectangular duct is numerically studied under the action of a uniform or a spatially varying magnetic field. The numerical results are obtained using a finite differences numerical technique based on a pressure-linked pseudotransient method on a collocated grid. The flow is appreciably influenced by the application of the magnetic field and in particularly by the strength and the magnetic field gradient. A comparison of the derived results is also made with those obtained using the existing BFD model indicating the necessity of taking into account the electrical conductivity of blood.
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Cites
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The Magnetic Properties and Structure of Hemoglobin, Oxyhemoglobin and Carbonmonoxyhemoglobin
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Hydrodynamics of magnetic drug targeting
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Transient neurovascular interface for minimally invasive neural recording and stimulation
Fanelli, A., Ferlauto, L., Zollinger, E. G., Brina, O., Reymond, P., Machi, P., & Ghezzi, D. (2022) · Advanced Materials Technologies · doi:10.1002/admt.202100176 · Cited by 22
Metadata
- Authors
- Tzirtzilakis, E. E.
- Venue
- Physics of Fluids
- Publisher
- AIP Publishing
- Published
- 2005-07-01
- Volume
- 17
- Issue
- 7
- ISSN
- 1070-6631 (ISSN-L)
- 1089-7666
- OpenAlex
- W2168734274
- Cited by
- 371
- References
- 16
- FWCI
- 2.89
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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