CFD Combustion Simulation of Combustor Gas Turbine
We were appointed as the CFD company
to perform Combustion CFD simulations
to evaluate next-generation combustor gas turbine concepts
Perform CFD Analysis
Studies to evaluate next-generation combustor gas turbine concepts
Combustion simulations using RANS/LES turbulence model and FGM combustion model
Outcome & Conclusion:
The estimated performance of the combustor design concepts. Proposed improvements in combustor designs based on CFD Fluid Flow Simulation
Automotive CFD Simulation of Thermal Temperature field distribution in SUV engine
Simulation of Velocity, Flow, Thermal Temperature field distribution in the engine (SUV).
The Effectiveness of Cooling Water jacket in/around the engine is also studied
Field distribution of flow parameters. Distribution of Heat (Temperature), Velocity (Flow).
Enhance Geothermal System CFD Consulting Analysis at Grosse Schonebeck Geothermal Reservoir, Berlin, Germany:
Our CFD Consultant
involves in mathematical modeling of a doublet water circulation using OpenGeoSys simulator. This doublet system (circulation of water by applying injection and production wells) has been applied in the Grosse Schonebeck geothermal reservoir, located at 4100-4300 m depth within the Lower Permian of the North-East German Basin.
The reservoir temperature was 150 C at 4200 m and the injection water temperature was about 70 C. The circulation experiments required a precise reservoir CFD Numerical model to match the reservoir history and predict future performance.
Sensible Heat Storage in Sandstone, Hamburg-Bergedorf, Germany:
As part of the CFD Consulting Service
Scope of Work, We were engaged as the CFD Consulting Company
to Run a test set-up for a new energy storage unit called Future Energy Solution. This storage solution converts excess wind energy into thermal energy, which is in turn stored in rock fill. Setup a mathematical model to investigate how efficient storage can be charged and arrangements of sandstones in rockfill affect the energy capacity.
- Thermal Heat storage was affected by sandstone size and an HTF injection enhances convective heat transfer rate.
- Larger stone decreased the energy capacity.
- Higher HTF (air) flow charged the storage faster.
- Optimum stone size is dp ~ 2 cm and airflow speed should be u ~ 0.2 m/s
Magneto Caloric Refrigeration Process CFD Modeling, Odense, Denmark:
Materials that change the temperature in magnetic fields are magnetocaloric material could lead to a new heating or cooling technologies that reduce the use of greenhouse gasses. Magnetocaloric material moves with certain frequency into a magnetic field and out again establishes a cooling cycle required to construct cooling systems. The magnetocaloric effect leads to the energy balance equation for re-generator and the mean-field model of the magnetization was used as part of the CFD Flow Analysis
to develop a model using in-house scientific source code, i.e. FEES simulator.
We used CFD Thermal Analysis
to study key parameters and characteristic features of heat transfer to develop an energy-efficient heat pump that plays a crucial role in the future sustainable energy system.
Air-directivity CFD Optimization:
As part of the development team of a particular car line, Our CFD Engineers
had to optimize the amount of airflow hitting the windshield.
The CFD Design
approach usually followed is to validate an initial design prepared by the designers. Once the CFD Computational Fluid Dynamics Simulation
has been run and based on the post-processing results, suggestions are given to the designers to improve the performance. This loop of designing and validating goes on until an optimum solution is found.
But this is often cumbersome and Our Consultant used Optimate+, a tool used for optimization purposes. This was done after a certain performance level had been achieved. This involved specifying the design goal (mass flow rates through the vents, speed of airflow, etc) which need to be achieved and the design elements which could be altered (in this case vent blade angle, length, and width of the blades, etc). Each goal is to give a certain weightage. The tool prepares a list of CFD Consulting
Simulation cases to be run which would alter the design parameters into different permutations and combinations to achieve the desired goal.
The results from these CFD Consultancy
Studies were very useful in selecting an optimum solution for the specified targets. All this also involved discussing with colleagues in Sindelfingen, Germany and Pune, India. The designers then checked the feasibility of the proposed design and came up with design versions closer to the optimum design selected through our simulations. This design was again validated in our CFD simulation
to check if it meets the required targets.
Although this is one effective way of selecting an optimum design, there is always scope to use one’s creativity to come up with a design that would yield an optimum result.
Full Vehicle Under-hood Thermal Simulation:
This task involves preparing a fully meshed model of a car to run a CFD Fluid Flow Analysis
to check for thermal hot spots in the engine bay and the exhaust components based on the boundary conditions given to us by the testing team. This is a generic CFD Fluid Dynamic Analysis
that is run by the team in Bangalore, India for various car lines under development at Daimler.
The methodology involved is to run a fluid Dynamic simulation
to check for convective heat transfer and the flow pattern. This CFD Flow simulation
is mainly used to check for any hot spots and the flow parameters through the different heat exchangers ( mass flow, inlet, and outlet temperatures, etc). Based on the results, we generally propose ways to increase the mass flow through the heat exchangers or reduce the exit temperature of the Radiator, for example. One such case that Our Consultant worked on was to alter the porous media coefficients of a radiator such that there is more air flowing through it and to check if the exit temperature falls. The selection of the porous media co-efficient cannot be random. It has to be selected from a pool of different radiators, condensers used by Daimler. It was seen that the air temperatures from the radiator outlet had come down.
Since all these changes are done at a very early stage of the design process of a car line, CFD simulations
such as these are used to improve the design for the next quality gates or design reviews. The geometry maturity improves at every subsequent design review gates and the validation process and design improvements go as loops. The maturity level of our Computational Fluid Dynamic simulations
has reached a level where the reliance on hardware testing has come down. The direct result of such robust simulation methods has been saving costs on hardware testing.
The Computational Fluid Analysis
does not stop at just the fluid flow simulations. The solids are also modeled and simulated to account for conductive and radiation heat transfers. For which the fluid flow simulation
is used as an initial condition. And then the fluid and solid simulations are run in loops as co-simulation until both the solid and fluid simulation results converge.
Implementation and validation of a numerical model for the spillway of the dam” Sa Stria “on the Monti Nieddu river
Our CFD Consultant made this simulation whit interFoam solver that uses the VOF method. Has been developed with the RANS equation and K-Epsilon model. Our consultants in the CFD research and Consultancy
Department studied the phenomenon of cavitation and pressure and flow speed on the spillway surface.
CFD Simulation of Motorbike.
When rendering the CFD Services
to our client, the solver was simplefoam and the turbulence model was KomegaSTT. Our Consultant in our Fluid Dynamics Company
studied the flow around the motorbike and the streamline. Our Consultant studied also in the same way, bullets and also missiles and wing profiles.
Numerical Prediction of Steady-State Subsonic Flow Properties around Compressor Vane
Comparison of Difference Turbulence Model VS Experimental Data in Prediction of Steady-State Subsonic Flow Properties around Compressor Vane with ANSYS CFX
The geometry and mesh of vane were the same in this case. Turbulence model: K-epsilon, k-omega, Spalart–Allmaras was adopted in the study. The steady-state result for temperature, pressure, velocity was plotted against experimental data.
K-omega turbulence model provided the closest result prediction compare to experimental data especially at the vane suction side where the pressure gradient is high.
Conjugate Heat Transfer Thermal Simulation of Turbine Blade
Numerical CFD Simulation
of Conjugate Heat Transfer Thermal Analysis
of Turbine Blade with OpenFOAM (To Prove Capability of Open source meshing and CFD tool)
NASA C3X vane geometry was created and meshed with gmsh. It is then imported into OpenFOAM and solve with steady-state solver: chtMultiRegionSimpleFoam.
Realizable K-epsilon turbulence was adopted for the Heat Transfer Simulation
. The steady-state result for temperature, pressure, velocity, etc. was plotted against experimental data.