An accurate moving boundary formulation in cut-cell methods

Schneiders, Lennart; Hartmann, Daniel; Meinke, Matthias; Schröder, Wolfgang

doi:10.1016/j.jcp.2012.09.038

Cited by 174 publications

(90 citation statements)

References 74 publications

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“…7, the hysteresis of the lift coeffrcient obtained by the present method is in good agreement with the numerical solutions reportedby Venkatakrishnan and Mavriplis [30] and Schneiders etal. [31] butlack agreement with the experimental results of Landon [28j.…”

Section: B Propagating Isentropic Vortexsupporting

confidence: 85%

Flowfield-Dependent Variation Method for Moving-Boundary Problems

2015

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Section: B Propagating Isentropic Vortexsupporting

confidence: 85%

Flowfield-Dependent Variation Method for Moving-Boundary Problems

2015

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“…On the other hand, we discussed large unphysical oscillation in the cut-cell method [12]. The valve area is literally covered by the cut-cells as shown in Figure 17, and there might be large amount of numerical errors.…”

Section: Discussionmentioning

confidence: 95%

“…Other possible sources for the non-determinacy have been investigated, e.g., the effect of cut-cell method on numerical oscillation [12]. Effect of such spurious oscillation may impact determinacy and need to be examined carefully.…”

Section: Other Possible Sourcesmentioning

confidence: 99%

Effect of Parallel Computing Environment on the Solution Consistency of CFD Simulations—Focused on IC Engines

Keum¹,

Grover²,

Gao³

et al. 2017

ENG

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For CFD results to be useful in IC engine analysis, simulation results should be accurate and consistent. However, with wide spread use of parallel computing nowadays, it has been reported that a model would not give the same results against the same input when the parallel computing environment is changed. The effect of parallel environment on simulation results needs to be carefully investigated and understood. In this paper, the solution inconsistency of parallel CFD simulations is investigated. First, the concept of solution inconsistency on parallel computing is reviewed, followed by a systematic CFD simulations specific to IC engine applications. The solution inconsistency against the number of CPU cores was examined using a commercial CFD code CONVERGE. A test matrix was specifically designed to examine the core number effect on engine flow, spray and combustion submodels performance. It was found that the flow field simulation during the gas exchange process is the most sensitive to the number of cores among all submodels examined. An engineering solution was developed where local upwind scheme was used to control the variability, which showed good performance. The implication of the observed inconsistency was also discussed.

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“…Furthermore, they are exclusively developed for incompressible flows. The cut-cell finitevolume method is a conservative sharp interface method for compressible flows (Hartmann et al, 2008(Hartmann et al, , 2011) that has been successfully extended to moving boundary problems (Schneiders et al, 2013). Cells intersected by the boundary are dynamically reshaped to maintain a conforming mesh as the moving interfaces evolve.…”

Section: Review Of the State Of The Artmentioning

confidence: 99%

“…Cartesian meshes have been shown to be well suited for adaptive mesh refinement (Hartmann et al, 2011), the application of multilevel methods (Hartmann et al, 2008), and implementation on massively parallel supercomputers (Burstedde et al, 2011). In addition, an accurate and fully conservative formulation of a cut cell boundary condition for moving surfaces is available (Schneiders et al, 2013). This paper is organized as follows: first, we present a brief review of the state of the art in different approaches for coupling multi-physics problems, conjugate heat transfer, and hierarchical Cartesian methods as well as the treatment of moving boundaries.…”

Section: Introductionmentioning

confidence: 99%

A numerical method for multiphysics simulations based on hierarchical Cartesian grids

Gadeschi

Schneiders

Meinke

et al. 2015

JFST

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We present a numerical method based on hierarchical Cartesian grids for the simulation of multiphysics problems, here in particular for the conjugate heat transfer between a fluid and a solid. The data structures developed for this simulation method allow to account for moving objects and are especially well suited for massive parallelization. The major problem of a suitable domain decomposition for a coupled fluid and heat conducting domain is solved by discretizing both domains on a joint hierarchical Cartesian mesh, where the individual cells can be marked according to the underlying physics, i.e. to be a fluid cell, a heat conducting cell or both. Individual solvers for the Navier-Stokes equations and the heat conduction equation are implemented which only operate on the Cartesian cells belonging to the fluid or solid subset of the joint hierarchical mesh. The solution strategy is validated against the analytical solution of the convective heat transfer between a heat-conducting solid flat plate and a laminar incompressible boundary layer. The applicability of the method for moving objects is then demonstrated by solving a conjugate heat transfer problem for a heated and moving cylinder in a laminar flow.

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An accurate moving boundary formulation in cut-cell methods

Cited by 174 publications

References 74 publications

Flowfield-Dependent Variation Method for Moving-Boundary Problems

Flowfield-Dependent Variation Method for Moving-Boundary Problems

Effect of Parallel Computing Environment on the Solution Consistency of CFD Simulations—Focused on IC Engines

A numerical method for multiphysics simulations based on hierarchical Cartesian grids

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