Computational Fluid Dynamics(CFD)
CFD Consulting and Solution development
Open source/Customized/AI CFD, Optimization, Digital twin, Photogrammetry
NEXTFOAM is uniquely positioned to solve your engineering challenges. Contact us right now.
Main Business Areas
CFD/CAE Consulting
- Evaluate the performance of your product through CFE/CAE simulation
- Visualize heat/fluid flow, diagnose problems, and suggest alternatives or optimization.
CFD Solution BARAM, FAMUS
- BARAM : An open source solution based on openfoam publicly available for anyone to use
- FAMUS : Meshless solution for hypersonic, plasma, FSI, multi-body motion
Customized CFD Solution – DIY CFD
- Develop customized CFD solution for your product by optimizing/automating simulation process
- Develop real time simulator by AI and data mining
Optical Measurement
- With optical camera, measure the 3D position and posture
- By combining image and state tracking filter, analysis 6-degree kinetics and dynamics of structures
Our Key Technologies
Computational Fluid Dynamics
- Development and release of the open source CFD program BARAM
- Development and release of NextFOAM, a fork to improve the performance of OpenFOAM
- Development and supply of FAMUS, a multi-physics solution for lattice-free techniques
- Providing the best engineering services and solutions based on experience in various fields
Engineering Solution Development
- Develop customized engineering solutions
- 3D geomerty Handling
- Surface/Volume mesh generation
- Visualization and post-processing
- Workflow optimization
- UX(User Experience) design & development
- Web based engineering solution development
- Parallelization and code optimization
Real Time Simulator, Optimization
- Automate CFD process
- CFD simulation and build database using Design of Experiment
- Create Surrogate model or Reduced Order Model by POD and machine learning
- Physics base Digital Twin using real time simulator
- Multi-disciplinary Design Optimization using real time simulator
- Utilize simulation for the entire product lifecycle from the initial design stage to after-sales service
Optical Measurement
- Develop non-contact, three-dimensional metrology systems using monocular and binocular cameras
- Analyze velocity, angular velocity, and natural frequency of structures based on position/posture analysis results
- Coordinate measurement of high-speed moving objects such as helicopter rotors
- Customize a design-learn-result pipeline based on deep learning networks
Portfolios of Consulting Projects
We have done more than 300 consulting projects in the area of aerospace, marine, automotive, electronics, power, HVAC and so on…
Air Pollutant Diffusion CFD SaaS Development
Air pollution dispersion plays an essential role in many fields, including air quality improvement, public health, public policy, and urban planning. By implementing the CFD analysis environment as a SaaS service on the digital twin platform of LX, we maximized utilization and accessibility, and fused sensor measurement data with simulation data.
MDO of High Speed Train
Design optimization of high speed train. With 27 shape parameters, we developed shape model using Bezier sufaces. Using 500 sample CFD data set, created a surrogate model and performed multi-objective optimization…
Aerodynamic DB of Launch Vehicle
To analyze the aerodynamics of reusable launch vehicle, we developed automatic geomerty generation program and automized CFD solution process. At sampling points using DOE, we performed CFD and sensitivity analysis and created initial DB. Through the validation of…
CFD Simulation of Explosion
Explosion simulation using CFD is a very difficult problem due to issues such as extreme scale differences between the whole domain and the reaction region, shock waves, rapid changes in physical quantities before and after the explosion, complex chemical reactions, and the need for large-scale computing capacity due to high-resolution grids and small time intervals.
NEXTFOAM has developed an efficient CFD code for explosion analysis that addresses these challenges. It employs an octree-based unstructured compressible solver incorporating third-order ENO spatial discretization techniques, level set, ghost fluid, and chemical reaction capabilities. To overcome the extreme scale difference, the code employs anisotropic adaptive mesh refinement (AMR) to efficiently manage the number of mesh. Additionally, a dynamic load balancing feature has been developed to enhance parallel computing performance and improve computational efficiency.
The code has been validated through 2D Riemann problems, confined rate stick explosions, and open-field explosion analyses. View detailed information
News
- 2025.05.06 | BARAM-v25.2.5 is released.
- 2025.05.06 | BARAM-v25.2.0 is released.
- 2025.01.06 | BARAM-v25.1.0 is released.
- 2025.01.06 | BARAM Portal site is opened
CFD Gallery
Customers
We have more than 100 customers including enterprise, research institute, universities, and public organizations in a varies of industries
