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79 results for “cfd”
Validated CFD Model for Multimode Gasoline Compression Ignition Engine
<p>A validated CFD model for the multimode combustion engine developed under the DOE funded project DE-EE0008478 (Co-optimized Mixed-Mode Engine and Fuel Demonstrator for Improved Fuel Economy while Meeting Emissions Requirements). It incorporates advanced physics-based fuel surrogate models for thermophysical properties and reaction kinetics. The combustion modes include spark ignition (SI), low temperature combustion (LTC), and compression ignition (CI). The real fuel model was validated for RON60, RON70, RON80, RON90, and two biofuel blends. The validation cases can be found in <a href="https://doi.org/10.2172/1887341">https://doi.org/10.2172/1887341</a>. </p>
Lituya Bay 1958 Tsunami – pre-event bathymetry reconstruction and 3D-numerical modelling utilizing the CFD software Flow-3D
<p>Simulation video, Model code, STL.File of the solid bodies</p>
Simulation data and scripts for CFD-DEM simulation of granular flows in ambient fluid
<ul> <li>Data sets - contains the raw data required to replicate and validate all plots in the main article. Contains folders in containing measurements of basic flow properties, e.g. velocities, shear rates, etc., of monodisperse and bidisperse granular flows in different flow regimes. Each folder contains a ReadMe.txt briefly explaining the content and lay out of each data set.</li> <li>Sample case - a .zip file which includes codes which are needed to simulate a CFD-DEM case of a steady granular flow in water with cyclic boundaries in the stream wise direction. Also enclosed is a ReadMe.txt file detailing the implementation instructions for both Esys particle and OpenFOAM codes. Download links for Esys particle and OpenFOAM are also included.</li> <li>Geo file generator - a .zip file which includes Esys particle codes that can be used to generate a .geo file specifying the initial position of the particles used in the test simulations. A ReadMe.txt file is enclosed with more detailed implementation instructions.</li> </ul>
Data from: Study on the optimization of the deposition rate of planetary GaN-MOCVD films based on CFD simulation and the corresponding surface model
Metal-organic chemical vapour deposition (MOCVD) is a key technique for fabricating GaN thin film structures for light-emitting and semiconductor laser diodes. Film uniformity is an important index to measure equipment performance and chip processes. This paper introduces a method to improve the quality of thin films by optimizing the rotation speed of different substrates of a model consisting of a planetary with seven 6-inch wafers for the planetary GaN-MOCVD. A numerical solution to the transient state at low pressure is obtained using computational fluid dynamics. To evaluate the role of the different zone speeds on the growth uniformity, single factor analysis is introduced. The results show that the growth rate and uniformity are strongly related to the rotational speed. Next, a response surface model was constructed by using the variables and the corresponding simulation results. The optimized combination of the matching of different speeds is also proposed as a useful reference for applications in industry, obtained by a response surface model and genetic algorithm with a balance between the growth rate and the growth uniformity. This method can save time, and the optimization can obtain the most uniform and highest thin film quality.
CFD Modeling Results and Related Data and Codes for Plotting of "A Mesoscale-to-LES Modeling of Tornado-like Vortex and Associated Local Strong Winds in Urban Area"
<p>The CFD modeling outputs, derived maximum wind fields in the analysis area, the topography data, the Python codes used to produce the figures, as we as the namelist of WRF simulation are available. The CFD modeling outputs are in binary format. The ctl. files of corresponding binary data (or dataset if ordered chronologically) are available in each directory (named after each experiment in our study).</p>
Data from: Investigation of turbulent flow in a Schwarz Diamond monolith using MRI and CFD
<p>MRI data from article: Clarke, Coe, Galvosas, and Holland. Investigation of turbulent flow in a Schwarz Diamond monolith using MRI and CFD (2025) Chemical Engineering Journal, 524, 168921</p> <p>Note that the data.zip file decompresses to about 7.5 GB.</p> <p>Version 2:</p> <p>- Fixed critical bugs in data processing scripts pertaining to how spiread.m was called (lines 37, 50 of spiVelProc3D_CS_5step.m, line 30 of turbDiffProc.m). </p> <ul> <li>Added spiread.m to the turbulentDiffusivity directory to fix issue where TopSpin data was read with a custom function not included in this dataset.</li> </ul> <p>Edited description on 2025.10.10 to include journal details.</p>
WisdomWombat: A polyglot dataflow CFD code using Python and Dragon
<p>We present a prototype solution for a polyglot computational fluid dynamics code using the Python Multiprocessing API and Dragon. The code uses an actor-based dataflow architecture with a directed graph to explicitly express program execution including parallelization and asynchronous communication. Computation-heavy parts are covered with individual Fortran executables, the shared state description is written in C with Fortran and Cython wrappers. Our code demonstrates data flow programming in Python for a classical tightly coupled HPC problem, combining cloud-native programming paradigms with HPC communication techniques like RDMA through the Dragon runtime. We demonstrate how a scalable software architecture for classical HPC, AI/ML and HPC workflow applications could look like in the future.</p>
Temporal and spatial heterogeneity of atmospheric environmental and meteorological field in the urban street canyon——CFD configuration
<p>This dataset is about the configuration files for simulations conducted in OpenFOAM-v8 in multiple scenarios, categorized into the "wd" folder for simulating the wind field and the "conc" folder for the concentration field.</p>
The influence of flow electrode channel design on flow capacitive deionization performance: Experimental and CFD modelling insights
<p>Flow capacitive deionization (FCDI) is an emerging desalination technology at which flow electrodes (shearthinning<br>flowable carbon slurries) are used to remove ions from saline water. The geometry of flow electrode<br>channels, which provide the path and ensure the distribution and mixing of the flow electrodes, is one of the most<br>important aspects to be optimized. This work presents experimental and computational fluid dynamics (CFD)<br>modelling analysis of the influence of the geometry of flow electrode channels on FCDI performance. Flow<br>electrode gaskets (with open, serpentine (short) horizontal and serpentine (long) vertical channels) were 3D<br>printed using a polyethylene terephthalate glycol (PET-G) filament. The FCDI cell with a vertical serpentine flow<br>electrode channel exhibited the poorest performance due to channel blockage by carbon particles, while the best<br>results were achieved with a horizontal serpentine flow electrode channel. CFD simulations aided in understanding<br>this behaviour by showing that the channel geometry strongly affects the local shear rate, and thus the<br>local viscosity of flow electrodes. Thus, it is recommended to design channels that induce flow disturbance<br>aiming for increasing the shear rate and hence reducing flow electrode viscosity, therefore promoting their<br>flowability and reducing clogging chances.</p>
Non-intrusive semi-analytical uncertainty quantification using Bayesian quadrature with application to CFD simulations
<p>The data contained in the uploaded '.zip' file is for some of the plots in the paper ‘Duan Y*, Eaton MD, Bluck MJ, 2021, Non-intrusive semi-analytical uncertainty quantification using Bayesian quadrature with application to CFD simulations, International Journal of Heat and Fluid Flow.’ (accepted)</p>
Geometric and Physical Reduced Order Modeling Applied to CFD Results
<p>Short videos illustrating the results from the ROM paper</p>
Supplementary material 2 from: Gomez-Mesa L, Pereira-Ribeiro J, Colombo Ferreguetti Á, Almeida-Santos M, Bergallo HG, Rocha CFD (2017) Ecological and reproductive aspects of Aparasphenodon brunoi (Anura: Hylidae) in an ombrophilous forest area of the Atlantic Rainforest Biome, Brazil. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e20477
Table S2. Data of Aparasphenodon brunoi individuals collected outside plot areas for diet and reproductive aspects analysis. : Data type: (measurement/occurence/multimedia/etc.)
Supplementary material 1 from: Gomez-Mesa L, Pereira-Ribeiro J, Colombo Ferreguetti Á, Almeida-Santos M, Bergallo HG, Rocha CFD (2017) Ecological and reproductive aspects of Aparasphenodon brunoi (Anura: Hylidae) in an ombrophilous forest area of the Atlantic Rainforest Biome, Brazil. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e20477
Table S1. Summary of observations of Aparasphenodon brunoi in Vale Natural Reserve, municipality of Linhares, state of Espírito Santo, Southeastern Brazil. : Data type: (measurement/occurence/multimedia/etc.)
CFD Simulation Dataset for Airborne Pathogen Transmission in Turbulent Channels
<p>This dataset contains results from computational fluid dynamics (CFD) simulations conducted using <strong>Ansys</strong> to model airborne pathogen transmission in turbulent airflow channels. The simulations focus on the dispersion of pathogen-laden droplets and aerosols, mimicking scenarios such as coughing-induced flows. The data includes the reception statistics of airborne particles, which are used to derive the infection probability. The dataset supports the studygiven below and can be used for statistical characterization and further analysis of airborne pathogen transmission between two people.</p> <p>F. Gulec, F. Dressler and A. W. Eckford, "A Computational Approach for the Characterization of Airborne Pathogen Transmission in Turbulent Molecular Communication Channels," in IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, vol. 9, no. 2, pp. 124-134, June 2023, doi: 10.1109/TMBMC.2023.3273193.</p> <p> </p>
Diagnostic Accuracy of CFD-Based Fractional Flow Reserve Derived From Coronary Angiography
ClinicalTrials.gov study NCT04814550. IPD Sharing: Not stated. Countries: 1. Publications: 1.
CFD Analysis and Risk of TOS in Sport
ClinicalTrials.gov study NCT04428125. IPD Sharing: NO. Countries: 1. Publications: 3.
Evaluation of Accuracy of CFD-based RuiXin-FFR by Comparing With Pressure-wire-based FFR
ClinicalTrials.gov study NCT04731285. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Study on the optimization of the deposition rate of planetary GaN-MOCVD films based on CFD simulation and the corresponding surface model
Open the record for dataset details and reuse information.
Supplementary material of 3D transient CFD simulation of an in-vessel Loss-Of-Coolant Accident in the EU DEMO fusion reactor
<p>Supplementary material associated to publication "3D transient CFD simulation of an in-vessel Loss-Of-Coolant Accident in the EU DEMO fusion reactor": videos showing time evolution of distribution of</p> <ul> <li>Mach number</li> <li>Temperature</li> <li>Speed</li> </ul> <p>close to the break during an in-vessel LOCA in a helium-cooled EU DEMO.</p>
CFD models for the PROTEUS simulator
<p>This archive file contains the CFD simulation files and corresponding models to use with the PROTEUS simulator. You can download the model of your choice, unzip it, and place it in the "geometry_data" folder of the PROTEUS simulator.</p> <p>You may choose between the standard version, which includes the original .vtu file, or the lighter "_no_vtu" version that only includes the files needed to run the simulator.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.