Computational Fluid Dynamics (CFD simulation) provides the opportunity to efficiently calculate and model complex fluid flows, which can be found in nature and technology. It is also possible to model multiphase flows (e.g. mixtures of liquids and gases or particles within gases), chemical reactions (like combustion, gasification or flue gas cleaning) and particle laden flows (pulverized coal or ash). Computational fluid dynamics (CFD) is probably the most efficient tool to optimize and further develop new and existing fluid mechanical processes and systems.
Computational Fluid Dynamics (CFD simulations and flow simulations) are tools to model fluid flows including heat and mass transfer as well as chemical reactions. Computational Fluid Dynamics in combination with commercially available supercomputers provide detailed insight into flow fields and reaction zones.
Computational Fluid Dynamics (CFD) can be used in various fields of technology and supply high quality inputs during the phase of basic engineering of systems or facilities as well as for solving problems encountered during the operation of facilities. The use of Computational Fluid Dynamics (CFD) provides engineers with a cost efficient and realistic virtual view into a component. Upcoming problems which would result in expensive reconstruction work can be anticipated and avoided while engineering future systems.
Another advantage of Computational Fluid Dynamics (CFD) is that any occurring problems or damages of components can quickly be analyzed and solved in a time and cost efficient way, using a well suited model.
The use of Computational Fluid Dynamics (CFD) requires broad knowledge of fluid mechanics as well as thermodynamics and a lot of experience. The user of CFD tools must be aware of the physics behind the problem. Complex fluid flow phenomena have to be understood before modeling and the results interpreted correctly.
Academic education and years of experience allow us to successfully use Computational Fluid Dynamics (CFD) and analyze and model complex flow problems. Our knowledge and skills exceed modeling simple fluid flow problems.
Examples for our extensive know-how in the field of Computational Fluid Dynamics (CFD) simulations are:
Simulations of reactive flows (e.g.: combustion and gasification of solid, liquid of gaseous fuels; or flue gas cleaning; etc.)
Simulations of particle laden flows (e.g.: ash transport, dust burning, etc.)
Simulation of (reactive) multiphase flows (e.g.: liquids and gases, fluidized solids, flow through packed beds like stoker furnaces )
Special problems of heat transfer (e.g.: temperature distribution in convective heat exchangers, radiation heat transfer, etc.)
Analysis of wind conditions
Cooling of components
Through many successfully conducted projects we are experienced in further developing CFD tools in order to get custom built applications. A few examples are:
Specially designed models for various applications (e.g.: drying, gasification, combustion, etc.)
Consideration of special boundary conditions
Integration of new sub models (e.g.: combustion models)
Adjustments of fluid properties (e.g.: fluid flow simulations of moving packed beds like rust systems )
Implementation of special source terms (e.g.: integration of convective- and radiating heating surfaces )