S
S. M. Aithal
Researcher at Argonne National Laboratory
Publications - 6
Citations - 85
S. M. Aithal is an academic researcher from Argonne National Laboratory. The author has contributed to research in topics: Computational fluid dynamics & Jet (fluid). The author has an hindex of 4, co-authored 6 publications receiving 55 citations.
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Influence of spatial discretization schemes on accuracy of explicit LES: Canonical problems to engine-like geometries
TL;DR: Detailed comparison of the numerical simulations performed by the open-source CFD code OpenFOAM® shows that the σ -model with the LUST discretization scheme yields the best results, and has hence been used to study the turbulent flow characteristics in an engine-like geometry.
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Influence of momentum interpolation methods on the accuracy and convergence of pressure-velocity coupling algorithms in OpenFOAM
TL;DR: The OMIM and a possible correction for under-relaxation dependency, which has been implemented in OpenFOAMź, are discussed in detail and the proposed methodology is compared and contrasted with OMIM in terms of accuracy of the solution and speed of convergence for several classical pressure-velocity segregated algorithms for steady state solvers.
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Vortex Flow and Cavitation in Liquid Injection: A Comparison between High-Fidelity CFD Simulations and Experimental Visualizations on Transparent Nozzle Replicas
TL;DR: In this article, high-fidelity simulations provide a very detailed insight into the vortex generation in the injector nozzle; strings appear within the time scales that are relevant for fast injection events (on the order of 0.1 milliseconds) and their generation seems mostly related to the flow pattern in the sac.
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A MultiPhase Dynamic-VoF solver to model primary jet atomization and cavitation inside high-pressure fuel injectors in OpenFOAM
TL;DR: In this paper, a two-phase volume-of-fluid (VOF) solver was proposed to study the physics of the primary jet breakup and flow transients induced by the nozzle geometry during the injector opening event in high-pressure injection using the OpenFOAM technology.
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Dynamic VOF Modelling of the Internal Flow in GDI Fuel Injectors
TL;DR: In this article, a hybrid Large-Eddy/Reynolds-Averaged scale-adaptive turbulence model has been applied together with a volume-of-fluid (VOF) solver in OpenFOAM to simulate cavitation in the injector nozzle and primary fuel atomization during the opening event of a GDI gasoline-injector for automotive applications.