Results 31 to 40 of about 21,778,692 (350)
AppliedMath, 2023 This research employs computational methods to analyze the velocity and mixture fraction distributions of a non-reacting Propane jet flow that is discharged into parallel co-flowing air under iso-thermal conditions.
Abdolreza Aghajanpour +1 more
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Water Entry of a Heated Axisymmetric Vertical Cylinder
Energies, 2023 The computational model that is able to estimate the temperature distribution inside a solid specimen during the film boiling phase of immersion quenching (water entry) process has been presented in this paper.
Alen Cukrov +4 more
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Impact of the turbulence modeling approach on the accuracy of the fan noise level prediction
Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, 2018 The fan is the dominant source of noise for modern high bypass ratio aircraft engines. The article presents the results of investigating the influence of the approach to modeling the turbulence in modeling fan stage noise generation on the results of ...
K. R. Pyatunin, N. V. Arkharova
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Turbulence Modeling Effects on the CFD Predictions of Flow over a Detailed Full-Scale Sedan Vehicle
Fluids, 2019 In today’s road vehicle design processes, Computational Fluid Dynamics (CFD) has emerged as one of the major investigative tools for aerodynamics analyses.
Chunhui Zhang +3 more
semanticscholar +1 more source
Perspectives on machine learning-augmented Reynolds-averaged and large eddy simulation models of turbulence [PDF]
Physical Review Fluids, 2020 This work presents a review and perspectives on recent developments in the use of machine learning (ML) to augment Reynolds-averaged Navier--Stokes (RANS) and Large Eddy Simulation (LES) models of turbulent flows.
K. Duraisamy
semanticscholar +1 more source
Generative modeling of turbulence
Physics of Fluids, 2022 We present a mathematically well-founded approach for the synthetic modeling of turbulent flows using generative adversarial networks (GAN). Based on the analysis of chaotic, deterministic systems in terms of ergodicity, we outline a mathematical proof that GAN can actually learn to sample state snapshots from the invariant measure of the chaotic ...
C. Drygala +3 more
openaire +2 more sources
Influence of the Reynolds Number on the Aerodynamic Performance of a Small Rotor
Aerospace, 2023 The use of small rotors has increased due their applications in drones and UAVs. In order to improve the global performance of these aerial vehicles, it is necessary to understand the aerodynamics of small rotors, since this is related to the global ...
Andres M. Pérez Gordillo +2 more
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RANS versus Scale Resolved Approach for Modeling Turbulent Flow in Continuous Casting of Steel
Metals, 2021 Numerical modeling is the approach used most often for studying and optimizing the molten steel flow in a continuous casting mold. The selection of the physical model might very much influence such studies. Hence, it is paramount to choose a proper model.
Jurij Gregorc +2 more
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Advanced Engineering Materials, EarlyView.This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel +3 more
wiley +1 more source
Mathematics, 2023 Since Sir Osborne Reynolds presented the Reynolds-averaged Navier–Stokes (RANS) equations in 1895, the construction of complete closure for RANS equations has been regarded as extremely challenging.
Sungmin Ryu
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