Результаты поиска по 'FLUENT':
Найдено статей: 3
  1. Ameenuddin M., Anand M.
    CFD analysis of hemodynamics in idealized abdominal aorta-renal artery junction: preliminary study to locate atherosclerotic plaque
    Computer Research and Modeling, 2019, v. 11, no. 4, pp. 695-706

    Atherosclerotic diseases such as carotid artery diseases (CAD) and chronic kidney diseases (CKD) are the major causes of death worldwide. The onset of these atherosclerotic diseases in the arteries are governed by complex blood flow dynamics and hemodynamic parameters. Atherosclerosis in renal arteries leads to reduction in arterial efficiency, which ultimately leads to Reno-vascular hypertension. This work attempts to identify the localization of atherosclerotic plaque in human abdominal aorta — renal artery junction using Computational fluid dynamics (CFD).

    The atherosclerosis prone regions in an idealized human abdominal aorta-renal artery junction are identified by calculating relevant hemodynamic indicators from computational simulations using the rheologically accurate shear-thinning Yeleswarapu model for human blood. Blood flow is numerically simulated in a 3-D model of the artery junction using ANSYS FLUENT v18.2.

    Hemodynamic indicators calculated are average wall shear stress (AWSS), oscillatory shear index (OSI), and relative residence time (RRT). Simulations of pulsatile flow (f=1.25 Hz, Re = 1000) show that low AWSS, and high OSI manifest in the regions of renal artery downstream of the junction and on the infrarenal section of the abdominal aorta lateral to the junction. High RRT, which is a relative index and dependent on AWSS and OSI, is found to overlap with the low AWSS and high OSI at the cranial surface of renal artery proximal to the junction and on the surface of the abdominal aorta lateral to the bifurcation: this indicates that these regions of the junction are prone to atherosclerosis. The results match qualitatively with the findings reported in literature and serve as initial step to illustrate utility of CFD for the location of atherosclerotic plaque.

    Keywords: abdominal aorta, atherosclerosis, hemodynamic indicators, renal artery, Yeleswarapu model.
    Views (last year): 3.
  2. Platonov D.V., Minakov A.V., Dekterev A.A., Sentyabov A.V.
    Numerical modeling of flows with flow swirling
    Computer Research and Modeling, 2013, v. 5, no. 4, pp. 635-648

    This paper is devoted to investigation of the swirl flows. Such flows are widely used in various industrial processes. Swirl flows can be accompanied by time-dependent effects, for example, precession of the vortex core. In turn, the large-scale fluctuations due to the precession of the vortex can cause damage of structures and reduce of equipment reliability. Thus, for engineering calculations approaches that sufficiently well described such flows are required. This paper presents the technique of swirl flows calculation, tested for CFD packages Fluent and SigmaFlow. A numerical simulation of several swirl flow test problems was carried out. Obtained results are compared with each other and with the experimental data.

    Keywords: computational fluid dynamics, FLUENT, SIGMAFLOW, Navier-Stokes equations, modeling, turbulent flow.
    Views (last year): 4. Citations: 2 (RSCI).
  3. Varaponov V.V., Savkina N.V., Diachkovsky A.S., Chupashev A.V.
    Calculation of aerodynamic factor of front resistance of a body in subsonic and transonic modes of movement by means of an ANSYS Fluent package
    Computer Research and Modeling, 2012, v. 4, no. 4, pp. 845-853

    The gas-dynamics approach to the calculation of the aerodynamic characteristics of modern aircraft makes it necessary to consider the complex and extensive set of tasks requiring the development of new methods for their solution. Drag coefficient for two bodies in subsonic and transonic flow regimes was calculated using ANSYS Fluent software. Numeric solution and results of the experiment are in good agreement; calculation error does not exceed 3 %.

    Keywords: external ballistics, the aerodynamic drag coefficient, subsonic and transonic flow regimes.
    Views (last year): 6. Citations: 5 (RSCI).

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