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In Vitro Model of Physiological and Pathological Blood Flow with Application to Investigations of Vascular Cell Remodeling
Published on: November 3, 2015
Toward a Mesoscopic Modeling Approach of Magnetohydrodynamic Blood Flow in Pathological Vessels: A Comprehensive
Ikram Cherkaoui1, Soufiene Bettaibi2, Abdelwahed Barkaoui1
1Laboratoire des Energies Renouvelable et Matériaux Avancés, Université Internationale de Rabat (UIR), Rocade Rabat-Salé, 11100, Rabat, Morocco.
Magnetohydrodynamics (MHD) blood flow simulations show that stronger magnetic fields reduce flow velocity and minimize flow separation. The Lattice Boltzmann Method (LBM) offers a precise approach for these complex hemodynamic analyses.
Area of Science:
- Biomedical Engineering
- Computational Fluid Dynamics (CFD)
- Magnetohydrodynamics (MHD)
Background:
- Investigating magnetohydrodynamic (MHD) blood flow in human anatomy is crucial for medical applications.
- Understanding blood flow dynamics is essential for diagnosing and treating cardiovascular diseases.
Purpose of the Study:
- To provide an exhaustive review of MHD applications and computational modeling in biological contexts.
- To explore the use of the Lattice Boltzmann Method (LBM) for complex hemodynamic simulations.
Main Methods:
- Literature review of magnetohydrodynamics (MHD) in biological and medical contexts.
- Introduction of the Lattice Boltzmann Method (LBM) as an alternative to traditional CFD for hemodynamics.
- Analysis of simple and pulsatile flow models under magnetic field influence.
Main Results:
- Increased magnetic field intensity significantly reduces blood flow velocity.
- Higher magnetic field strength effectively minimizes flow separation areas.
- The Lattice Boltzmann Method (LBM) with the BGK collision model demonstrates high precision in simulations.
Conclusions:
- Magnetohydrodynamics offers promising therapeutic and diagnostic potential in cardiovascular medicine.
- The Lattice Boltzmann Method (LBM) is a viable and precise tool for complex hemodynamic modeling.
- Further research is needed to fully explore MHD applications and optimize LBM for clinical use.
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