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The unstructured quadratic triangular mesh for the Curved Channel with stent geometry. As can be seen, the mesh is more refinement close to the drug-eluting stent.
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The present work aims at developing a numerical study on the drug diffusion in the bloodstream in a coronary artery with drug-eluting stent implanted. The blood was modeled as a single-phase, incompressible and Newtonian fluid and the Navier–Stokes equation was approximated according to the Finite Element Method (FEM). The dynamics of drug-eluting...
Context in source publication
Context 1
... simulation was visualized using the Paraview open-source software proposed by Henderson (2007) [17]. The Figure 3 shows a part of the quadratic triangular mesh for the Curved Channel with stent geometry. This mesh was generated by the GSMH open source software and the same type of mesh was used for all the geometries shown in Figure 2. As can be seen, it was used a unstructured triangular mesh, where it has a greater refinement close to the drug-eluting stent semi-circles. ...
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Introduction:
The current standard treatment for bifurcation lesions is the provisional stent technique, by implanting only one stent in the main branch; however, in certain cases, the use of more complex techniques that require double stenting should be considered.
Objective:
To perform a clinical and angiographic assessment of patients with true...
Citations
In this paper, magneto-hydrodynamic flow of four different nanoliquids is presented. Two types of nanoparticles, viz. alumina and CuO are considered in water and ethylene glycol as base fluids. Appropriate models for nanoliquid physical properties are considered to incorporate the nanoparticle aggregation effects, nanoparticle shape, and size of the nanoparticles. Similarity transformations are used to convert the partial differential equations of the flow to nonlinear ordinary differential equations. The resultant system of equations is solved by Runge–Kutta finite difference method and an error function is designed which is optimized by using a metaheuristic algorithm, namely particle swarm optimization. The effect of flow parameters, viz. mass transfer parameter and Hartmann number and the nanoliquid parameters like nature of the base liquid, nanoparticle material, nanoparticle size, concentration of nanoparticle in base liquid on velocity distributions have been analyzed and discussed. The nanoparticle concentration and the particle size are found to have a significant role in the nanoliquid flow in the channel. The numerical results obtained from the proposed numerical method are validated with the previously published work under some special cases. The proposed numerical method holds excellent potential in mathematical modeling problems where the resultant equations are nonlinear coupled ordinary differential equations with unknown initial or boundary conditions.
