BBIPED
CFD Industrial Platform for Engineering Design
News! BBIPED platform beta has been released !. Download
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BBIPED is an engineering simulation software for fluid dynamics industrial applications. BBIPED can handle a wide range of engineering applications in sectors such as turbomachinery, aeronautics, renewable energy, biosciences, advanced manufacturing, automotive, water and heat management; providing ad-hoc solutions for specific industry needs.
The BBIPED Graphical User Interface allows an automated CFD (Computational Fluid Dynamics) simulation process from CAD generation, meshing, solving and post-processing.
The idea of developing this platform was proposed by BCAM and Baltogar, who joined efforts to overcome current industrial challenges in turbomachinery design by means of extensive research. Thus, BBIPED is the result of a fruitful collaboration between science and industry. This work has been developed within the research project "Development of an efficient, flexible and innovative CFD Computational Platform to optimally simulate and design industrial products and processes", co-funded by the Department of Economic Promotion of the Biscay Foral Council and the Department of Education, Language Policy and Culture of the Basque Government.
BBIPED Key Features
- A friendly user GUI (easily customizable on demand) is provided to better manage the CFD workflow process from CAD, to solving and post-processing
- Ad-hoc solutions to fit industrial needs keeping the same interface, reducing engineers learning curve
- Flexible easy to use for engineers, showing only what they need (customizable configuration variables views)
BBIPED Extra Features
- Highly customizable eXtended SU2 (XSU2) library for future developments
- Multi-zone computation
- Multiple rotating reference frame: using multizone or virtual zone approaches
- Improved boundary conditions for internal flows.
- Customized CAD parametrization for automatic optimization
- CAD-free flow simulation
BBIPED Research Roadmap
- Multiphysics
- Proper Orthogonal Decomposition (POD) and Genetic Algorithms (GA) for optimization
- New turbulent models
- Medical Applications
Our partner
We would like to thanks the effort and support of our main partner in this project,
Baltogar
Co-funded by
Acknowledgments
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