Implementing the eN method into OpenFOAM
, 2018 This work deals with programming the transition to turbulence detection method denominated eN for the airflow around an airfoil. The OpenFOAM software contains several transition prediction methods but not the so called eN, based on linear stability ...
Bouville, O. +3 more
openaire +3 more sources
A review on the modelling of wave-structure interactions based on OpenFOAM [PDF]
, 2022 The modelling of wave-structure interaction (WSI) has significant applications in understanding natural processes as well as securing the safety and efficiency of marine engineering.
Li, M +29 more
core +1 more source
Extending the isoAdvector Geometric VOF Method to Flows in Porous Media
, 2023 We consider the interfacial flow in and around porous structures in coastal and marine engineering.* During recent years, interfacial flow through porous media has been repeatedly simulated with Computational Fluid Dynamics (CFD) based on algebraic ...
Journal, OpenFOAM
core +1 more source
CoolFOAM: The CoolProp wrapper for OpenFOAM
Computer Physics Communications, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fadiga E. +3 more
openaire +2 more sources
OpenFOAM for Francis turbine transients [PDF]
, 2021 The flexibility and fast responsiveness of hydropower systems make them a reliable solution to overcome the intermittency of renewable energy resources and balance the electrical grid.
Nilsson, Håkan +4 more
core +1 more source
A massive simultaneous cloud computing platform for OpenFOAM [PDF]
, 2021 Today the field of numerical simulation in is faced with increasing demands for data-intensive investigations. On the one hand Engineering tasks call for parameter-studies, sensitivity analysis and optimization runs of ever-increasing size and magnitude.
Siyahhan, Bercan +5 more
core +1 more source
Deploying deep learning in OpenFOAM with TensorFlow [PDF]
AIAA Scitech 2021 Forum, 2021 We outline the development of a data science module within OpenFOAM which allows for the in-situ deployment of trained deep learning architectures for general-purpose predictive tasks. This module is constructed with the TensorFlow C API and is integrated into OpenFOAM as an application that may be linked at run time. Notably, our formulation precludes
Romit Maulik +4 more
openaire +3 more sources
Study of hydrodynamics performance of a multi-venturi filtering system for BWR severe accident venting strategies [PDF]
Nuclear Technology and Radiation Protection, 2020 The aim of this project was to determine the capacity of a multi-venturi scrubber filtering system to cope with vented gas mass-flow rate coming from a BWR Mark II primary containment during a long-term station blackout.
Reyes-Garcia Alejandro Antonio +4 more
doaj +1 more source
Investigation gas behavior inside a gas centrifuge using dsmc code developed and dsmcFOAM solver [PDF]
مجله علوم و فنون هستهای, 2021 To model a gas behavior within a centrifuge machine, a powerful tool is required similarly. With high-speed cover, all the computational limitations for applying the influential derives such as feed, scoop, baffle effects, etc., formed flow regimes ...
S. Yousefi nasab +4 more
doaj +1 more source
Numerical investigation of the effect of nanoparticle sedimentation on the thermal behavior of cavities with different cross-sectional shapes [PDF]
Journal of Particle Science and Technology, 2023 In this paper, the thermal behavior of nanofluids was numerically simulated during nanoparticle sedimentation. A new solver was developed in the open-source framework, i.e. openFoam, using the finite volume method by combining appropriate solvers.
Miralam Mahdi, Amir Noori, Atie Farrokh
doaj +1 more source