Evaluation of OpenFOAM’s discretization schemes used for the convective terms in the context of fire simulations

Maragkos, Georgios; Verma, Salman; Trouvé, Arnaud; Merci, Bart

doi:10.1016/j.compfluid.2021.105208

Cited by 9 publications

(3 citation statements)

References 39 publications

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“…The governing equations are solved for the pseudo-steady solution and discretization schemes used are based on, 10,21 and summarized in the supplementary Tables S4-S6. The convergence criteria used in the simulation are set based on universal absolute tolerance of 1eÀ6 (but a nonzero relative tolerance of 0.1 is used for velocity, sensible enthalpy, and the turbulence terms like k and x) 22 with an under-relaxation factor for equations set to 0.9 (see Ref.…”

Section: Mathematical Modelmentioning

confidence: 99%

Gassing During Tapping of Silicon

Vachaparambil

Panjwani

Olsen

2022

JOM

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During tapping of metal from silicon furnaces, a significant amount of gas is often released through the tap-hole. The gas is combustible, and a flame jet is created which poses a safety threat to operators. Due to the high temperatures involved, thermal NOx is also produced. This is a threat to the environment and the health of the operators. These phenomena, known as gassing, have been studied here by a mathematical model for reactive turbulent flows. The results show that the flame jet can extend several meters out from the tap-hole, and that the strength of the flame jet increases with the amount of gassing. The simulations also show that the NOx production increases with the amount of gas exiting the tap-hole, and that the thermal NOx formation does not substantially impact the length of the gas jet.

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Section: Mathematical Modelmentioning

confidence: 99%

Gassing During Tapping of Silicon

Vachaparambil

Panjwani

Olsen

2022

JOM

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“…The keyword 01 enforces bounding of scalars between 0 and 1, while the parameter 0.5 implies blending of 50% linear and 50% upwind schemes. More details regarding the discretization schemes used in the study can be found in Reference 26. The simulations are run for 35 s, with a variable time step, corresponding to a maximum Courant number of 0.9.…”

Section: Numerical Setupmentioning

confidence: 99%

Analysis of adaptive mesh refinement in a turbulent buoyant helium plume

Maragkos

Funk

Merci

2022

Numerical Methods in Fluids

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The study evaluates OpenFOAM's adaptive mesh refinement (AMR) capabilities and accuracy when applied to numerical simulations of turbulent buoyant flows. To this purpose, large eddy simulations of Sandia's turbulent helium plume test case are considered, a scenario with similar characteristics (in terms of air entrainment and vortex shedding) to those encountered in large-scale fires. Comparison is made of the relative accuracy (in terms of both first and second order statistics), the predicted puffing frequencies and the computing times of numerical simulations using AMR and static meshes. Additionally, a sensitivity study on different AMR parameters is conducted and an evaluation of the performance of the dynamic Smagorinsky model when combined with AMR is made. Overall, the predictions of AMR are very satisfactory, in terms of both accuracy and computing times, compared to the use of static meshes of different sizes. Nevertheless, it is observed that a careful choice of a static mesh can result in equally accurate predictions with comparable, or even smaller, computing times than AMR for the case at hand. Additionally, the use of AMR slightly modified the entrainment characteristics in the near-field region of the plume and (significantly) altered some of the, dynamically determined, turbulence model parameters.

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“…In recent years, OpenFOAM has been adopted to study a large variety of computational approaches for different CFD applications, including plasma cutting [22], fire plumes [27], and metal forming processes [32]. Thanks to parallel computing support, multiphase modeling capabilities, a wide range of existing turbulence models and ease of implementation for new ones, OpenFOAM represents a great tool for the development and assessment of computational strategies for atmospheric modeling.…”

Section: Introductionmentioning

confidence: 99%

Validation of an OpenFOAM-based solver for the Euler equations with benchmarks for mesoscale atmospheric modeling

Girfoglio¹,

Quaini²,

Rozza³

2023

Preprint

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Within OpenFOAM, we develop a pressure-based solver for the Euler equations written in conservative form using density, momentum, and total energy as variables. Under simplifying assumptions, these equations are used to describe non-hydrostatic atmospheric flow. For the stabilization of the Euler equations and to capture sub-grid processes, we consider two Large Eddy Simulation models: the classical Smagorinsky model and the one equation eddy-viscosity model. To achieve high computational efficiency, our solver uses a splitting scheme that decouples the computation of each variable. The numerical results obtained with our solver are validated against numerical data available in the literature for two classical benchmarks: the rising thermal bubble and the density current. Through qualitative and quantitative comparisons, we show that our approach is accurate. This work is meant to lay the foundation for a new open source package specifically created for quick assessment of new computational approaches for the simulation of atmospheric flows at the mesoscale level.

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Evaluation of OpenFOAM’s discretization schemes used for the convective terms in the context of fire simulations

Cited by 9 publications

References 39 publications

Gassing During Tapping of Silicon

Gassing During Tapping of Silicon

Analysis of adaptive mesh refinement in a turbulent buoyant helium plume

Validation of an OpenFOAM-based solver for the Euler equations with benchmarks for mesoscale atmospheric modeling

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