Experimental Validation of a Coupling Method for Transient Conjugate Heat Transfer

Radenac, Emmanuel; Millan, Pierre; Gressier, Jérémie; Reulet, Philippe

doi:10.1615/ihtc13.p15.50

Cited by 7 publications

(19 citation statements)

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“…In this section, we let the computational domain consist of two sub-domains for simplicity, ⌦ = ⌦ (1) [⌦ (2) , and the sub-domains are separated by an interface ⌃. The sub-domain ⌦ (1) is governed by the heat conduction equation,…”

Section: Iia Governing Equations and Notationsmentioning

confidence: 99%

“…The subdomain ⌦ (2) is governed by compressible Navier-Stokes (NS) equations for laminar flows and by ReynoldsAveraged Navier-Stokes (RANS) equations for turbulent flows. The unknowns for the NS equations are the conservative variables u (2) = [⇢, ⇢u, ⇢E] T , where ⇢ is density, u is velocity vector, and E is specific total internal energy.…”

Section: Iia Governing Equations and Notationsmentioning

confidence: 99%

“…The unknowns for the NS equations are the conservative variables u (2) = [⇢, ⇢u, ⇢E] T , where ⇢ is density, u is velocity vector, and E is specific total internal energy. The equations can be compactly written as r · F inv (u (2) ) r · F vis (u (2) , ru (2) …”

Section: Iia Governing Equations and Notationsmentioning

confidence: 99%

“…F vis (u (2) , ru (2) ) = A (2) (u (2) ) · ru (2) , and a description of the viscosity tensor A (2) for the NS equations can be found in Liu. 11 The RANS equations include the temporally averaged NS equations and the turbulent model equation(s), which is chosen as the Spalart-Allmaras (SA) equation in this work.…”

Section: Iia Governing Equations and Notationsmentioning

confidence: 99%

“…⌦ (1) ⌦ (2) ⌦ (3) ⌃ (13) ⌃ (12) ⌃ (23) (a) Example multi-regioned problem In this paper, we propose a solution framework for CHT simulations that autonomously provides reliable output predictions. More specifically, the framework is comprised of a cut-cell technique that allows mesh generation to be decoupled from the design geometry, a high-order discontinuous Galerkin (DG) discretization, and an anisotropic output-based adaptation method that autonomously adapts the mesh to minimize the error in an output of interest.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

An Adaptive Simplex Cut-Cell Method for High-Order Discontinuous Galerkin Discretizations of Conjugate Heat Transfer Problems

Ojeda

Sun

Allmaras

et al. 2015

22nd AIAA Computational Fluid Dynamics Conference

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In this paper we present a PDE solution framework for high-order discretizations of conjugate heat transfer (CHT) problems on non-body-conforming meshes. The framework consists of a discontinuous Galerkin (DG) discretization, a simplex cut-cell technique, and an anisotropic output-based adaptive scheme. With the cut-cell technique, the mesh generation process is completely decoupled from the interface definitions. In addition, the adaptive scheme combined with the DG discretization automatically adjusts the mesh in each sub-domain and achieves high-order accuracy in outputs of interest, namely heat flux across an interface. We demonstrate our proposed framework through several multi-domained CHT problems consisting of laminar and turbulent flows, curved geometry, and highly coupled heat transfer regions. The combination of these attributes yield nonintuitive coupled interactions between fluid and solid domains, which can be di cult to capture with user generated meshes. Our proposed automatic mesh generation and adaptation scheme o↵ers a hands-free capability allowing for streamlined solutions and physical insight to complex CHT problems.

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Section: Iia Governing Equations and Notationsmentioning

confidence: 99%

Section: Iia Governing Equations and Notationsmentioning

confidence: 99%

Section: Iia Governing Equations and Notationsmentioning

confidence: 99%

Section: Iia Governing Equations and Notationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Adaptive Simplex Cut-Cell Method for High-Order Discontinuous Galerkin Discretizations of Conjugate Heat Transfer Problems

Ojeda

Sun

Allmaras

et al. 2015

22nd AIAA Computational Fluid Dynamics Conference

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A quasi‐dynamic procedure for coupled thermal simulations

Errera

Baqué

2013

Numerical Methods in Fluids

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SUMMARYThis paper outlines the development and adaptation of a coupling strategy for transient temperature analysis in a solid via a conjugate heat transfer method. This study proposes a quasi‐dynamic coupling procedure to bridge the temporal disparities between the fluid and the solid. In this approach, dynamic thermal modeling in the solid is coupled with a sequence of steady states in the fluid. This quasi‐dynamic algorithm has been applied to the problem of convective heat transfer over, and transient conduction heat transfer within, a flat plate using the severe thermal conditions of a solid propellant rocket. Two different coupled thermal computations have been performed. In the first one—referred to as the reference computation—the coupling period is equal to the smallest solid time constant. In the second one, a very large coupling period is used. The results show that the procedure can predict accurate transient temperature fields at a reasonable computational cost. The simulation CPU time is approximately reduced by up to 90%, while maintaining a very good accuracy. All the details of the numerical test case are given in the paper. This application illustrates the capabilities and the overall efficiency of this coupled approach in a solid transient problem using long term simulations of time dependent flows. Copyright © 2013 John Wiley & Sons, Ltd.

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Physical modeling of conjugate heat transfer for multiregion and multiphase systems with the Volume-of-Fluid method

Kind,

Sielaff,

Stephan

2024

Engineering with Computers

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The Volume-of-Fluid (VOF) method is commonly used for numerical simulations of phase change phenomena, such as nucleate boiling or droplet evaporation. A key issue with the standard VOF method is the averaging of the liquid and vapor properties in interface cells, which causes non-physical conjugate heat transfer with a solid wall. Therefore, we aim at a physical model for conjugate heat transfer between a solid and a multiphase fluid. The first measure for higher quality simulations is the splitting of the single temperature field in the fluid region into separate liquid and vapor temperature fields. The second measure is the development of a new, more physical temperature boundary condition for conjugate heat transfer between a solid region and a multiphase fluid, based on experimental results, theoretical models and theoretical considerations. In interface cells, the vapor phase is excluded from the conjugate heat transfer because only heat transfer to the liquid phase occurs resp. dominates. Additionally, the conjugate heat transfer between solid and liquid in the interface cells is performed with virtual subcells, depending on the respective volume fraction of the liquid phase. This new approach (we name it distinctive approach) is successfully validated for energy conservation, and stability issues are discussed for the first time. Significant differences to simulations with averaged properties are observed due to the (now) physically correct modeling of conjugate heat transfer. In our boiling cases, the more accurate numerical simulations lead to considerably larger bubble growth rates. Higher quality simulations are also expected for nearly all applications, where there is a three-phase contact line, be it vapor bubbles in nucleate boiling or droplets impacting on a heated surface.

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Experimental Validation of a Coupling Method for Transient Conjugate Heat Transfer

Cited by 7 publications

References 0 publications

An Adaptive Simplex Cut-Cell Method for High-Order Discontinuous Galerkin Discretizations of Conjugate Heat Transfer Problems

An Adaptive Simplex Cut-Cell Method for High-Order Discontinuous Galerkin Discretizations of Conjugate Heat Transfer Problems

A quasi‐dynamic procedure for coupled thermal simulations

Physical modeling of conjugate heat transfer for multiregion and multiphase systems with the Volume-of-Fluid method

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