CFD Consulting Companies

CFD Consulting Company is what we often identify ourselves with when introducing our selves to customers and prospective clients in Singapore.
As one of the largest Computational Fluid Dynamics Company in Singapore, we have a team of highly experienced CFD consultants who can help companies like yours to provide CFD Analysis Services.
CFD Consulting Companies




LS-DYNA Consulting

3. EM SC Consulting

1. PCB Simulation
2. SI, PI, S-Parameters
3. Return/Insertion Loss
4. Cross Talk, Eye Diagram
5. RLC Extraction

About Us

BroadTech Engineering is a Leading Engineering Simulation and Numerical Modelling Consultancy in Singapore.
We Help Our Clients Gain Valuable Insights to Optimize and Improve Product Performance, Reliability, and Efficiency.


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3. LS-DYNA Consulting
3. LS-DYNA Consulting
3. LS-DYNA Consulting
3. LS-DYNA Consulting
3. LS-DYNA Consulting
3. LS-DYNA Consulting

Featured CFD Consulting Case Studies



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



CFD Modeling 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


Combustion CFD Flow Simulation, transient, Turbulent model, Energy Eqn., Moving mesh.


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.
Study finding:
  1. Thermal Heat storage was affected by sandstone size and an HTF injection enhances convective heat transfer rate.
  2. Larger stone decreased the energy capacity.
  3. Higher HTF (air) flow charged the storage faster.
  4. 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
At that time, our CFD Services company used OpenFoam software to provide our CFD Analysis Services.
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.
The Thermal Simulation performed using OpenFOAM was able to predict reasonably good trend compare to experimental data thus is proven reliable for turbo-machinery application. Due to Fluid flow pass through turbo-machinery is subjected to a high-pressure gradient, it is suggested that a more robust turbulence model which can predict the transition from laminar to turbulent to be used in the future Simulation work involving Thermodynamic Simulation.

Our Engineering Consulting Clients

BroadTech Engineering works closely with clients across a diversity of key industries in Singapore, such as Electronics, Energy, Aerospace, Marine, Government, and Building & Construction.

BroadTech Engineering Client

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Featured Simulation Case Study

building energy design



shaft failure




high speed cabin




nozzle development




Call Us For a Free Consultation

If you are still interested in learning more about our Consulting Services and to see what it can do for you, simply call to contact us today at +6594357865 for a no obligation discussion of your needs. Our knowledgeable and friendly engineering representative will be happy to assist.

Alternatively, for quote request, simply email us your detailed technical specification needs & requirements to

1. Powerful Simulation Software Tools

1. Powerful Simulation Software Tools

2. Simulation Consultants with Extensive Research & Professional Experience

2. Simulation Consultants with Extensive Research & Professional Experience

3. Simulation projects Completed in a Timely and Cost-effective Manner

3. Simulation projects Completed in a Timely and Cost-effective Manner

4. Proven Track Record

4. Proven Track Record

5. Affordable

5. Affordable

6. Full Knowledge Transfer

6. Full Knowledge Transfer


Contact Info

✉   info(at)
☎   (+65) 9435 7865
22 Sin Ming Lane, Midview City, Singapore 573969


Our Partners

Siemens PLM Partner_BroadTech

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Over the years, BroadTech Engineering has Set Itself Apart By Striving To Exceed Client Expectations In Terms of Accuracy, Timeliness and Knowledge Transfer. Our Process is Both Cost-Effective and Collaborative, Ensuring That We Solve Our Clients Problems.

  1. FEA Consulting
  2. CFD Consulting
  3. Electronic Design Consulting
  4. Semiconductor Design Consulting


At BroadTech Engineering, we are seasoned experts in Star CCM+ and ProPlus Software in our daily work.
We can help walk you through the software acquisition process, installation, and technical support.

  1. Siemens Star CCM+
  2. Femap (FEA)
  3. HEEDS Design Optimization
  4. Solid Edge (CAD)
  5. Proplus Solutions SPICE Simulator
  6. Proplus Solutions DFY Platform
  7. Proplus Solutions High-Capacity Waveform Viewer


Discuss With Us Your Project!