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The Physics of Fluids
This work presents a large language model (LLM)-based agent OpenFOAMGPT tailored for OpenFOAM-centric computational fluid dynamics (CFD) simulations, leveraging two foundation models from OpenAI: the GPT-4o (GPT means Generative Pre-trained Transformer ...
Sandeep Pandey +3 more
semanticscholar +1 more source
This work presents a large language model (LLM)-based agent OpenFOAMGPT tailored for OpenFOAM-centric computational fluid dynamics (CFD) simulations, leveraging two foundation models from OpenAI: the GPT-4o (GPT means Generative Pre-trained Transformer ...
Sandeep Pandey +3 more
semanticscholar +1 more source
Testing Strategies for OpenFOAM Projects
OpenFOAM® JournalWhile testing is increasingly recognized as essential in scientific software development, it is not yet standard practice within the OpenFOAM community for developing new solvers and features.
J. W. Gärtner +6 more
semanticscholar +1 more source
The Physics of Fluids
Due to the complexity and short timescale of detonation, it is usually difficult to capture its transient characteristics experimentally. Advanced numerical methods are essential for enhancing the understanding of the flow field structure and combustion ...
Huangwei Chen +3 more
semanticscholar +1 more source
Due to the complexity and short timescale of detonation, it is usually difficult to capture its transient characteristics experimentally. Advanced numerical methods are essential for enhancing the understanding of the flow field structure and combustion ...
Huangwei Chen +3 more
semanticscholar +1 more source
Combining machine learning with computational fluid dynamics using OpenFOAM and SmartSim
Meccanica (Milano. Print)Combining machine learning (ML) with computational fluid dynamics (CFD) opens many possibilities for improving simulations of technical and natural systems.
T. Marić +4 more
semanticscholar +1 more source
Harmonic Balance developments in OpenFOAM
Computers & Fluids, 2018The Harmonic Balance method for simulating unsteady nonlinear periodic flows is presented in this pa- per. Its recent, yet rapid development was motivated by the possibility of significant CPU time consump- tion savings compared to conventional transient methods, while providing sufficient accuracy.
Gregor Cvijetić +3 more
openaire +2 more sources
Large eddy simulation of turbulent supersonic hydrogen flames with OpenFOAM
, 2020A high-fidelity numerical solver, RYrhoCentralFoam, is developed based on OpenFOAM® to simulate turbulent compressible reactive flows. It is designed for accurately simulating combustion with detailed chemistry, turbulence, shock wave and their ...
Huangwei Zhang, Majie Zhao, Zhiwei Huang
semanticscholar +1 more source
Liquid Atomization Modeling in OpenFOAM
2019Several approaches have been developed to simulate liquid-jet atomization phenomena. Despite recent developments in numerical methods and computer performance, direct numerical simulation of the atomization process remains inaccessible for practical applications.
Anez J. +5 more
openaire +3 more sources
Region Coupling Algorithms in OpenFoam
2020Region coupling is an interesting approach to combine different solvers in complex multiphysics problems. It is usually employed to couple the temperature between solids and fluids. In order to simulate a porous medium in a fluid flow it is necessary to couple temperature, pressure, species concentration and velocity of a fluid and a two-phase fluid ...
Kiss, Matthias +3 more
openaire +1 more source