PDF Simulations of a Bluff-Body Stabilized Flow
โ Scribed by P. Jenny; M. Muradoglu; K. Liu; S.B. Pope; D.A. Caughey
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 273 KB
- Volume
- 169
- Category
- Article
- ISSN
- 0021-9991
No coin nor oath required. For personal study only.
โฆ Synopsis
Three different PDF algorithms have been applied to investigate a constant-density bluff-body stabilized flow using the same turbulence models and the same boundary conditions. The objectives of this paper are to compare the three algorithms in terms of numerical accuracy and efficiency and to demonstrate the ability of PDF methods to calculate this type of flow accurately. While one of the three algorithms is a standalone particle-mesh method, the other two are consistent hybrid algorithms, i.e., both are particle methods coupled with finite-volume schemes. The motivation for hybrid algorithms is to reduce the statistical and bias errors. Since the coupling between the finite-volume scheme and the particle method is a major numerical issue, different approaches have been investigated. It is shown that the results obtained from the three numerical algorithms are in good agreement with each other and with the experimental data.
๐ SIMILAR VOLUMES
Cooling of a blu! body is a topic of interest for many engineers and scientists. Forced convection over the blu! body generates #ow separation, which in turn a!ects the heat transfer characteristics and increases the irreversibilities involved in the system. In the present study, #ow over a rectangu
A hybrid vortex method was developed to simulate the two-dimensional viscous incompressible flows over a bluff body numerically. It is based on a combination of the diffusion-vortex method and the vortex-in-cell method by dividing the flow field into two regions. In the region near the body surface
An application of a new flow measurement technique is described which allows for the non-intrusive simultaneous measurement of flow velocity, density, and viscosity. The viscosity information can be used to derive the flow field temperature. The combination of the three measured variables and the pe