ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting: Volume 1, Symposia – Parts A, B, and C 2010
DOI: 10.1115/fedsm-icnmm2010-30694
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An Immersed Boundary Method for Conjugate Heat Transfer Problems

Abstract: This paper provides an immersed boundary method using a flexible local grid refinement technique for solving conjugate-heat-transfer problems. The proposed method is used to solve the flow past a heated hollow cylinder inside a channel together with the temperature field within the cylinder and then to predict turbomachinery blade cooling.

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Cited by 3 publications
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“…Some of the authors have extended the IBM to the preconditioned compressible URANS equations in order to solve complex flows at any value of the Mach number (De Palma et al, 2006), equipped it with a local mesh refinement procedure to resolve boundary layers and regions with high flow gradients (de Tullio et al, 2007), and later coupling it with the heat conduction equation, as a predictive tool for CHT problems (de Tullio et al, 2010). More in detail: first, the immersed boundary (IB) grid generator detects the position of each cell of the Cartesian grid with respect to the geometry, discretized by a surface mesh consisting of triangular elements, and divides the cells into four types: solid and fluid cellswhose centres lie within the body and within the fluid, respectively; fluid-and solid-interface cells, that have at least one of their neighbours inside and outside the body, respectively; second, the URANS equations are solved at all internal fluid cells, whereas the heat conduction equation is solved at all internal solid cells using the same spatial discretization and time-marching scheme; third, the boundary conditions, which account for the presence of the body are imposed at the fluid-/solid-interface cells, using a local interpolation procedure; and fourth, the interface boundary conditions requiring that both the temperature and heat flux are the same for the fluid and the solid at all boundary points are imposed by a CHT approach.…”
Section: Introductionmentioning
confidence: 99%
“…Some of the authors have extended the IBM to the preconditioned compressible URANS equations in order to solve complex flows at any value of the Mach number (De Palma et al, 2006), equipped it with a local mesh refinement procedure to resolve boundary layers and regions with high flow gradients (de Tullio et al, 2007), and later coupling it with the heat conduction equation, as a predictive tool for CHT problems (de Tullio et al, 2010). More in detail: first, the immersed boundary (IB) grid generator detects the position of each cell of the Cartesian grid with respect to the geometry, discretized by a surface mesh consisting of triangular elements, and divides the cells into four types: solid and fluid cellswhose centres lie within the body and within the fluid, respectively; fluid-and solid-interface cells, that have at least one of their neighbours inside and outside the body, respectively; second, the URANS equations are solved at all internal fluid cells, whereas the heat conduction equation is solved at all internal solid cells using the same spatial discretization and time-marching scheme; third, the boundary conditions, which account for the presence of the body are imposed at the fluid-/solid-interface cells, using a local interpolation procedure; and fourth, the interface boundary conditions requiring that both the temperature and heat flux are the same for the fluid and the solid at all boundary points are imposed by a CHT approach.…”
Section: Introductionmentioning
confidence: 99%