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CFD Services Companies

CFD Services by Companies and Consultancy in Singapore, such as BroadTech Engineering is seeing an increase in demand in recent years.
This is in part due to the increase in requirement for a shorter development lead time and a more competitive global landscape.
Also, by outsourcing to an external CAE engineering services company, it helps to lower the overall amount that needs to be invested, such as prohibitively costly engineering software licensing and maintenance cost, high-end workstations, steep learning curve, and operational cost.CFD Services Companies

 

Overview

 

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.

Questions?
Contact Us!

Please fill out the form below. Our friendly customer service staff will get back to you as soon as we can.
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 Services Case Studies

 

CFD Design of Dirt Protection System for Power Generation Gas Turbine

For this Client CFD Consulting Project, the CFD Analysis Simulations to design dirt protection system for next-generation power generation gas turbines

Objective:

Perform CFD Modeling simulations to evaluate multiple dirt shield concepts to protect turbine cooling holes from clogging

Methodology/Approach:

Eulerian-Lagrangian approach for modeling dirt particle trajectories was adopted as part of the CFD Consulting Services provided by BroadTech Engineering. Perform CFD Services, such as Fluid Flow simulations to understand the sensitivities of results due to variations in dirt particle properties, distribution, etc.

Outcome & Conclusion:

Establish a robust CFD Flow Analysis Simulation methodology to perform particle CFD Modeling in the mid-frame component of the gas turbine.
CFD Simulations performed as part of the CFD Consultancy work helped in selecting the final design of the dirt protection system.
 
 
 

 

CFD Simulation for Pulsejet Combustor analysis

Objective:

Aim of the CFD Thermal analysis of the Pulsejet combustor is to simulate a baseline pulsejet combustor and then optimize the Engineering design for more thrust.

Methodology:

Geometry: Extracted internal volume, Mesh
Regions: Set appropriate mass flow inlet for fuel, and pressure outlet for air.
Physics: implicit unsteady, Eddy breakup hybrid model, segregated flow.
Post: thrust report, temperature, velocity and Combustion chamber peak pressure report.
Design change:
A CFD software named Optimate was used to perform design changes for a specified number of parameters. This is used as part of our CFD Analysis Services to qualify whether the modified design has met the required criteria or not. Based on this data, the number of CFD Simulation cases will be decided by the engineers in the CFD Company.
This same approach is also used in other common CFD simulation applications, such as Centrifugal Pump CFD studies, Ship Optimization Simulation, Data Center CFD Simulation studies, and Axial Fan CFD Simulation.

Outcome:

Our CFD Consultant Performed more than 20 design sets to improve the thrust produced by the engine for the same fuel consumption.
 
 

 

CFD Study of Aerodynamics of Wind Turbine Rotor.

As part of our CAE services as a CFD Consulting Company, a generalized computer program is written to calculate the parameters (chord to length ratio of blade and angle of twist) for any airfoil section for any desired power. This same program is also used in many other similar applications, such as HVAC CFD consulting projects, Airflow Simulation Analysis, Axial Fan CFD Simulation, Car park Ductless Ventilation Jet Fan CFD Simulation Studies, Centrifugal Fan CFD Simulation, Centrifugal Pump CFD Analysis Simulation as well as Building interior Thermal Comfort Analysis studies
A sample data is taken for demonstrating the capability of this Numerical modeling method.
The complete methodology for the design of the wind turbine is demonstrated by calculating the design parameters used for the Computational Fluid Flow Analysis of the wind turbine. The designed blade is also analyzed using the blade element momentum theory. Computer codes are written to verify whether the blade satisfies the design condition.
The designed wind turbine is analyzed using Fluid Turbulent Simulation performed using the CFD tool (GAMBIT-FLUENT).
The Numerical model used for the Airfoil Simulation as well as Centrifugal Pump Impeller CFD Analysis is developed in GAMBIT by taking 20 sections of an airfoil. For the developed model the mesh is generated using sizing mesh function.
As part of the scope of work for the Wind Load Analysis, the full wind turbine rotor is analyzed at design and off- designed wind velocity by using Multi Reference Frame and Turbulent Flow Simulation in Ansys FLUENT.
 
 

 

Numerical Methods for Partial Differential Equations and High-Performance Computing

Abstract:

As part of the scope of work for a Wind Engineering Project, the Linear advection equation is studied to analyze Upwind and perform CFD Turbulence Modeling, through the use of Forward Time Central Steps (FTCS), Lax-Friedrichs, Lax-Wendroff, and MacCormack explicit methods.
All numerical schemes are treated in terms of accuracy, consistency, and stability and numerical effects as truncation error or solution dissipation and dispersion are brought to examination. The highest accuracy is obtained with Lax-Wendroff and MacCormack, which lead to the same results for linear problems, while FTCS methods commonly used in Wind Flow Analysis are unconditionally unstable.
CFD Simulations are performed in the Fortran language, where different parametric studies are carried out. Different CFL conditions, grid refinement levels, final times and scalar fields are studied quantitatively and qualitatively using graphs and tables. Convergence to solution as CFL condition is approached, the number of nodes is increased and the final time is decreased is proved.
Another key aim of present Wind Analysis studies is to implement a parallel code for a given problem and measure its performance compared to serial code. Both results and code structures and strategies are clarified through descriptive flow charts, which was later applied to various applications, such as Building Aerodynamics and Wind Simulation, Building CFD Thermal Analysis, Complex Multiphysics Simulation Analysis, Advanced Fluid Turbulent Modeling Simulation, Numerical Modeling of Centrifugal Pump Simulation. Finally, improvement in terms of computational time is achieved through parallel code, but larger computational cost is desired to be more efficient and worth it.
 
 

 

Numerical Methods for Compressible Flows 

Abstract:

A deep study about compressible flow computational resolution is carried out as part of the work for a Computational Aeroacoustic Project. Principal characteristics and features presented in the mentioned flows are described in the Multiphysics Modeling Simulation study, including a review of most usual shock waves and discontinuities observed in nature.
Beyond the physics, remarkable ingredients of the Godunov method for solving hyperbolic equations are studied and its limitations are highlighted. Different Riemann solvers, limiter functions and order of accuracy are implemented in 1D and 2D in-house codes with both MUSCL and WENO approaches.
To verify the given solver and analyze how different flow features are represented in the Multiphase Flow Simulation, some well-known problems, such as Ventilation CFD applications and Aerodynamic Simulation Studies are solved and compared to results found in the literature. Shock tube problem is implemented for the 1D solver, while radial explosion, frontal facing step, and double Mach reflection cases are studied for the 2D solver. Robust results have been provided for all methods tested, finding the most accurate results for HLLC solver and no significant difference between slope limiters.
Some problems have been faced when trying to capture weak flow features, being needed finer grids and higher-order methods that were not inside the scope of the present study.
 
 

 

CFD Turbulence modeling Services.

Abstract:

Reynolds Averaged Navier-Stokes (RANS) and Detached Eddy Simulation (DES) are performed
in a wall-mounted cube in a wind-tunnel domain at Reynolds number 40,000.
Aims are to set up both computational Fluid Flow Simulation studies successfully with an appropriate mesh grid refinement, turbulence model, numerical scheme and spatial discretization, which is similar to that used in FSI Simulation.
The computational cost of the Flow Simulation is limited by 1e6 cells in the 3D domain. Models’ reliability is tested through velocity profiles, contours, iso-surfaces and streamlines representations compared to experimental results.
Finally, accurate Computational Fluid Dynamics Analysis results are obtained by DES, while RANS simulation is unable to capture transient fluctuations related to turbulence structures. The given problem presents several
vortex structures well defined that are only well captured by DES. However, good results in terms of general flow patterns and velocity magnitudes are obtained with Quadratic Upstream Interpolation for Convective Kinematics (QUICK) algorithm discretization and non-equilibrium wall function for the near-wall treatment.
 
 

 

Thermal soak CFD Simulation using co-simulation

Objective:

Establish CFD Thermal Simulation methodology to predict the transient thermal behavior of the underhood component of a passenger car at engine-off condition, after it has run for a certain time.

Methodology/Approach:

Created the Heat Transfer Simulation method using Simcenter STAR-CCM+ Co-simulation. Accounted for the effects of Conduction, convection as well as Radiation mode of heat transfer using Steady-State Thermal Analysis. This Thermodynamics Simulation method is faster compared to the CHT (Conjugate heat transfer) approach.

Outcome & Conclusion:

Training provided to customers on the developed Transient Thermal Analysis method. The customer has used the Thermal Analysis method for Actual production cases.
 
 
 

 

CFD Simulation of Diesel Filling Process

Objective

In this study conducted by BroadTech’s CFD Research and Consultancy Team, a CFD Design model of Car diesel tank filler was used to assess the effect of different types of filler pipes of a fuelling system. Starting from CAD data, a detailed model of the diesel filler system is idealized for the CFD Flow simulation which includes multiphase modeling to employ air, diesel, and foam in the Computational Fluid Dynamics simulation.
A full assessment of the diesel filler using different diesel filling nozzles was conducted. Diesel fillability analysis using various dispense flow rates was also performed.
 

Methodology

This Computational Fluid Analysis assessment supports requirements and serves as a precursor to physical testing as per the automotive standards commonly adopted by most established CFD Services Companies.
The CFD analysis performed by most Fluid Dynamics Company Largely consists of an implicit unsteady CFD simulation with a multiphase volume of fluid (VOF) flow model. For diesel fill, there is also a particular focus on foaming; a user-defined foam phase is incorporated in the model to predict the generation and dissipation of diesel foam.
During the CFD analysis, the volume fractions of diesel and foam are tracked at the sensor port of the nozzle. The target is to keep the volume fraction of diesel or foam at the sensor port below 5% during fill to ensure premature nozzle shutoff.
A detailed Computational Fluid Dynamics Simulation investigation study showed that modeling the tank geometry has little effect on the outcome of fill quality. Therefore only the filler geometry is modeled to avoid computational overhead. A filler head equipped with a misfuel device (MFD) is taken into account to ensure fill quality for the analysis.

CAE Tools Used:  

StarCCM+ – Pre-processing/ Simulation/ Post Processing

 

Conclusion

In this study, various diesel filler designs and filler nozzles were analyzed. Considering all the cases, the design which meets a shutoff target is considered as the best design for the proper diesel fill.
 

Summary

The diesel fill study was done to assess the dependence of the diesel filler design parameters on the fuelling system. Computational Fluid Dynamic analysis was performed to understand the volume fraction of diesel or foam at the sensor port below 5% during fill to ensure no nuisance or premature nozzle shutoff.
 
 
 

 

CFD Analysis of Snow Avalanche

Duration: 6 Months (March 2011 to Aug 2011)
Client: DRDO (SASE)
Team Size: 2, Responsibility: CFD Engineer

Project Overview:

The aim of the project is to Defining the properties (Viscosity and internal friction and the shear stress) of the snow by UDF and find out run-out distance and velocity of the snow coming down from the snow chute to verify with physical test results.
 

Design of Tank internals like inlet distributor and outlet oil collector by CFD Analysis

Duration: 3 Months, Jan 2011 to March 2011
Client: Petrofac
Team Size:3, Responsibility: CFD Engineer

Project Overview:

The CFD Consulting project aims to design of inlet distributor and outlet oil collector by CFD analysis of gravity separation of oil and water in oil Tank.

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

Questions?
Contact Us!

Please fill out the form below. Our friendly customer service staff will get back to you as soon as we can.

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 +6581822236 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 info@broadtechengneering.com

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

LS-DYNA Consulting

3. Electromagnetics & Semiconductors Simulation

1. PCB Simulation - High-Speed /High-Frequency Simulation
2. Signal Integrity, Power Integrity, S-Parameters
3. Return Loss, Insertion Loss
4. Cross Talk, Eye Diagram
5. RLC Extraction
6. IR Drop, Decap Optimization

Services

Products

Contact Info

✉   info(at)broadtechengineering.com
 
☎   (+65) 81822236
 
22 Sin Ming Lane, Midview City
Singapore 573960 

Our Partners

Siemens PLM Partner_BroadTech

Proplus Partner_Logo_730x200

 

Consulting

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

Software

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

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Discuss With Us Your Project!