Numerical simulations of mixtures of fluids using upwind algorithms

Luke, Edward A.; Cinnella, Pasquale

doi:10.1016/j.compfluid.2007.03.008

Cited by 104 publications

(33 citation statements)

References 29 publications

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“…combustion are generally validated by verifying that the flame expansion angle of the simulation reproduces the experimental observation [9][10][11].…”

mentioning

confidence: 99%

Correlation of optical emission and turbulent length scale in a coaxial jet diffusion flame

Matsuyama

2014

Combustion and Flame

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“…combustion are generally validated by verifying that the flame expansion angle of the simulation reproduces the experimental observation [9][10][11].…”

mentioning

confidence: 99%

Correlation of optical emission and turbulent length scale in a coaxial jet diffusion flame

Matsuyama

2014

Combustion and Flame

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“…Flow simulations were performed using the Loci/CHEM flow solver [10][11][12], which was originally developed for simulating non-equilibrium, chemically reacting flow but can also be used to simulate non-reacting flow. Loci/CHEM is an application built using the Loci framework [55] that provides the infrastructure for facilitating intra-application coordination of fine-grained numerical kernals and methods.…”

Section: Results For Wing In Wind Tunnelmentioning

confidence: 99%

“…The cell on the right now has nine faces. Although this refinement strategy can be employed with the Loci/CHEM flow solver [10][11][12], it cannot be employed with all flow solvers. It should be noted that our feature-based approach is not limited to use with the refinement strategy described here and can be used in conjunction with conventional approaches.…”

Section: Adaptive Mesh Refinementmentioning

confidence: 99%

“…Once the nodes are marked, the strategy described in Chalasani et al [9] is employed to refine the mesh in the specified regions. The flow solver we use is the Loci/CHEM code [10][11][12]. We demonstrate the efficacy of our approach by applying it to the prediction of the flow fields around two different configurations, a wing in a wind tunnel at 10 • angle of attack [13] and a missile configuration [14] at 0 • angle of attack with canards deflected 15 • spinning at 30 and 60 Hz.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Feature‐based adaptive mesh refinement for wingtip vortices

Kasmai

Thompson

Luke

et al. 2011

Numerical Methods in Fluids

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SUMMARYFeature-based solution-adaptive mesh refinement is an attractive strategy when it is known a priori that the resolution of certain key features is critical to achieving the objectives of a simulation. In this paper, we apply vortex characterization techniques, which are typically employed to visualize vortices, to identify regions of the computational domain for mesh refinement. We investigate different refinement strategies that are facilitated by these vortex characterization techniques to simulate the flow past a wing in a wind tunnel. Our results, which we compare with experimental data, indicate that it is necessary to refine the region within and near the vortex extent surface to obtain an accurate prediction. Application of the identified mesh refinement strategy also produced observed improvement in the results predicted for a spinning missile with deflected canards.

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“…In addition, the algorithms have been extended to Loci/CHEM numerical models have been demonstrated to be at least second order accurate in space and time through rigorous verification using the Method of Manufactured Solutions (MMS). 10 Loci/CHEM supports adaptive mesh refinement, 11 simulations of complex equations-of-state including cryogenic fluids, 12 multiphase simulations of dispersed liquid and solid particulates using both Lagrangian and Eulerian approaches, 13 conjugate heat transfer through solids, 14 fluid structure interaction modeling, 15 and non-gray radiative heat transfer associated with both, gas and particulate phases. 16 For complex geometry and object motion problems, the Loci/CHEM solver infrastructure supports overset meshes.…”

Section: Overview Of Loci Framework and Loci/chem Flow Solvermentioning

confidence: 99%

Development of Modeling Capabilities for Launch Pad Acoustics and Ignition Transient Environment Prediction

West

Strutzenberg

Putnam³

et al. 2012

18th AIAA/CEAS Aeroacoustics Conference (33rd AIAA Aeroacoustics Conference)

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This paper presents the development effort to establish modeling capabilities for launch vehicle liftoff acoustics and ignition transient environment predictions. Peak acoustic loads experienced by the launch vehicle occur during liftoff with strong interaction between the vehicle and the launch facility. Acoustic prediction engineering tools based on empirical models are of limited value in efforts to proactively design and optimize launch vehicles and launch facility configurations for liftoff acoustics. Modeling approaches are needed that capture the important details of the plume flow environment including the ignition transient, identify the noise generation sources and allow assessment of the effects of launch pad geometric details and acoustic mitigation measures such as water injection. This paper will present a status of the CFD tools developed by the Marshall Space Flight Center (MSFC) Fluid Dynamics Branch featuring relevant advanced multi-physics modeling capabilities and related efforts to establish a hybrid acoustic environment modeling capability combining CFD with a Boundary Element Method (BEM) acoustic field propagation model.The CFD analysis software program utilized at the MSFC Fluid Dynamics Branch is Loci/CHEM. Loci is a highly scalable computational framework with automatic parallelization for computational field simulations [1,2]. Loci was developed at Mississippi State University by Dr. Ed Luke. Loci/CHEM is a density-based Navier-Stokes solver [3] implemented in the Loci framework with the following features:Generalized unstructured grids RANS, URANS, DES, Hybrid RANS/LES turbulence modeling Eulerian multiphase models for particulates and droplets Lagrangian multiphase models for particulates and droplets with particle vaporization, condensation, combustion Real fluids EOS for cryogenic injection and combustion analysis Non-gray radiation transport models (particle and gas phase radiation) Solution adaptive mesh refinement with various error estimators available Mesh deformation for fluid-structure deformation and fuel burn-back surface Overset moving body with prescribed motion and 6-DOF Body Collision 6-DOF modeling Loci/CHEM has been extensively verified using the Method of Manufactured Solutions (MMS) Technique. The numerical algorithms are verified to be 2 nd order space and 2 nd order time accurate, but do not feature low dispersion and low dissipation algorithms at this point of development. Production simulations are routinely executed with up to 300M mesh cells on more than 3000 processors on the NASA NAS Pleiades supercomputer. The advances in CFD simulation capability and fidelity in the Fluid Dynamics Branch at MSFC have resulted in CFD modeling of complete launch vehicles with multiple plumes interacting with detailed launch pad geometric models ( Figure 1). These analyses have become invaluable in defining liftoff environments for Shuttle and future NASA heavy lift launch vehicle designs. Simulations with these tools are capable of capturing the sources of acoustic waves o...

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Numerical simulations of mixtures of fluids using upwind algorithms

Cited by 104 publications

References 29 publications

Correlation of optical emission and turbulent length scale in a coaxial jet diffusion flame

Correlation of optical emission and turbulent length scale in a coaxial jet diffusion flame

Feature‐based adaptive mesh refinement for wingtip vortices

Development of Modeling Capabilities for Launch Pad Acoustics and Ignition Transient Environment Prediction

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