+65 81822236 (Whatsapp/Call) info@broadtechengineering.com

Fluid Dynamics Company

Fluid Dynamics Company is what we often identify ourself 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.
 
 
Fluid Dynamics Company

 

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 Fluid Dynamics Case Studies

 

CFD Thermal Analysis of Driver Thermal Comfort in Tractor

Objective:

To perform underhood CFD thermal analysis for tractor driver comfort and predict the temperatures near the driver’s leg. This Steady-State Thermal Analysis project was part of a CFD Consultancy Project for a Client.
 

Method used:

  1. Segregate the necessary and unnecessary parts from the import model and make it ready for surface wrapper operation. The reason to go for wrapper in this CFD Modeling is that this model had too many problems like free edges, pierced faces, and non-manifolds.
  2. Create a domain around the tractor model so that during wrapper operation full domain with a tractor can be extracted for the CFD Analysis using the seed point method.
  3. Create a surface wrapper operation, tick gap closure option and set appropriate size settings. The wrapper was performed in three stages coarse, medium and fine. The reason to do this is to make sure that necessary features are captured with a limited number of faces. Note: At this point HX, Fan must not be included.
  4. Create a subtract operation to subtract HX, a fan from wrapper.
  5. Assign parts to region and set appropriate BC’s inside the CFD Flow Simulation Model. A single stream HX method is used here.
  6. Create mesh operation for HX, fan, and wrapper with the domain. Trimmer mesh so per part meshing.
  7. Set physics segregated flow with the K-omega turbo model.

Conclusion:

At the end of the CFD Consulting Project, our Consultants in the CFD Research & Consultancy team found that the Cabin Interior temperature near the driver’s leg was predicted and matched with experiment results…
 
 

 

HVAC CFD Analysis of Car Cabin Temperature Distribution

 

Objective:

As a CFD Services company, we were tasked to perform car cabin HVAC analysis and predict the temperature on passenger face using CFD Thermal Analysis.
 

Methodology:

  1. Segregate the necessary and unnecessary parts from the import model and make it ready for surface wrapper operation. The reason to go for wrapper when performing pre-processing for the CFD Simulation is that this model had too many problems like free edges, pierced faces, and non-manifolds.
  2. Create separate surfaces for passenger’s faces so that it can be used later to create reports.
  3. Create a surface wrapper operation and extract the internal volume of the cabin using the seed point method. So that it extracts all the traced path during the Computational Fluid Dynamics Simulation Process.
  4. Assign parts to regions and set appropriate BC’s and set physics (Segregated flow, K-omega model)
  5. Create Automated mesh operation and provide necessary settings for the Fluid Flow Simulation.
  6. Create reports and plots

Conclusion:

1. The simulation was completed successfully and the temperature on the passenger’s face was predicted and matched with experiment results.
 
 
 

 

Optimization of the angle of the draft tube to increase the efficiency of hydro‐electric Power plant.

 

Draft tube is a divergent component just after the runner. This component allows to improve the efficiency of the plant.
In this CFD Consulting Services project, our CFD Engineer investigated the different draft angles to find the best one to optimize the efficiency of hydrodynamic turbines. increasing the angle of the hydrodynamic draft in one side will decrease the velocity in the draft (after the hydro turbine) and because of that will lead to decrease the efficiency, and in another hand will increase the pressure at the draft and through this phenomena will help to increase the turbine efficiency.
For these opposite effects of draft angle we used Ansys Fluent (commercial CFD software ) to calculate the optimize angle of a draft in both laminar (Re=100) and turbulent (Re= 100000) flows.
 

Method:

In this CFD Services project where we were engaged as the CFD company to perform the CAE services,all of the model dimensions (except of the angle) would be kept constant and in each time only the angle of draft would be changed then the calculation of efficiency would be done according to that angle. at the last step with comparing the results, the optimized angle would be found.
In this project performed by our CFD consulting Company, the gravity is assumed to be in X direction with amount of 1 (m/s^2) density is constant and equal to 1 (kg/m^3), this amount was selected just for making some simplification (this project was a part of my master study).
The boundary conditions used in the CFD Modeling are: velocity in inlet is equal to 1 (m/s) and the outlet gage pressure is equal to 0(pa).
For changing the “Re” number the viscosity amount was changed (1/100 for Re=100 in laminar flow & 1/100000 for Re = 100000 in turbulent flow)
Then the following equations were calculated:
 for maximum efficiency the ƛ would be maximum.
ƛ= 1-(S4^2/ S 2^2) – K
K= ((P4-P2)/ƿg) + (V4 ^2-V 2^2/2g)) / (V4 ^2/2g)
 
for each angle used in the CFD Flow Simulation, the pressures (P4&P2) and the velocities (V4&V 2&) for the points 2&4 were calculated, through the CFD simulation, and were put in the formula of “K”. then the area of the points 2&4 (S2&S 4) were calculated for each angle. with these parameters “ƛ” was calculated for each angle and the angle of maximum “ƛ” was found. as mentioned before, the efficiency would be maximum for this angle.
 

Result:

From the Simulation results, Our CFD Consultant found that for laminar flow the maximum efficiency happen at 7 degree
for turbulent flow, the maximum efficiency happen at 6 degree
 

 

CFD Cavitation Modeling  around a hydrofoil in different attack angles

In this CFD Flow Analysis project for simulating the flow and cavitation around a hydrofoil, placed in a hydro-dynamical channel, used from ANSYS Fluent code.
The code is a component of WORKBENCH environment. This environment allows us to create the geometry of the calculation domain (Design Modeller or DM), to couple this domain (ANSYS Meshing), to run FLUENT and Show results.

Method:

In the first step, the mesh was built for different positions of hydrofoil by using ANSYS meshing.
each mesh was built from three section, the first section contains the not crucial parts of channel, the size of cells are relatively large here because of reducing the time of convergence, the second section has more cells with smaller size this section contains the area which occurring cavitation, change in pressure and velocity, etc. are probable.
The last section of the mesh used in the Computational Fluid Analysis was made by very small cells, this section contains around the wall of the hydrofoil.
the gradient of quantities in this section is high ( because of boundary layer condition) so the cells of this section must be very small for earning more accurate results.
Within the Computational Fluid Dynamic Simulation, the hydrofoil wall was defined as a no-slip condition and the walls of the channel were defined as slip condition.
The two-phase option proposed by Fluent code, with the homogeneous mixture model was used.
The two phases are assumed non-compressible. To model the mass transfers at the interface the Schnerr-Sauer model was used.
Although the flow around the hydrofoil is non-steady but was converged with steady-state modeling during the Computational Fluid Dynamic Analysis (except in large cavities). The steady-state is obtained during the Computational Fluid Flow Analysis when the vapor mass in the cavity is stabilized.
The following adjustments in fluent were used:
the accurate second-order scheme in space, the PRESTO scheme for the pressure and the SIMPLEC scheme for the velocity – pressure coupling. The turbulent model was chosen as the classical k-e model with a turbulent intensity of 2% and a length scale of 10^-4 m.
 

Results:

Boundary conditions
V0=10 m/s, P0= -10000 (pa)
(for all attack angles) the results for different attack angles were taken: with cavitation for P0=-10000 (pa) gage pressure.
 

(in 10 degrees slop hydrofoil):

  • the foil drag force = 0.46805914
  • the foil drag coefficient = 937.80632
  • the foil lift force = 3.7665158
  • the foil lift coefficient= 7546.6155
  • the weighted average foil pressure coefficient = -48542535
 

in 7 degrees slop hydrofoil:

  • the foil drag force = 0.36898904
  • the foil drag coefficient = 7.3930911e-06
  • the foil lift force = 3.3730007
  • the foil lift coefficient= 6.7581686e-05
  • the weighted average foil pressure coefficient = -0.4504208
 
in 4 degrees slop hydrofoil:
  • the foil drag force = 0.41534801
  • the foil drag coefficient = 0.67811919
  • the foil lift force = 2.5326662
  • the foil lift coefficient= 4.1349652
  • the weighted average foil pressure coefficient = -34796.92
 
in 0 degrees slop hydrofoil:
  • the foil drag force = 0.11148901
  • the foil drag coefficient = 0.18202287
  • the foil lift force = -0.13473267
  • the foil lift coefficient= -0.2199717
  • the weighted average foil pressure coefficient = -32012.89
 

 

Flutter prediction for aircraft wing using CFD Simulation

Objective:

Guide an intern for creating a CFD Simulation methodology to predict flutter characteristics of a composite plate
 

Methodology/Approach:

Simcenter STAR-CCM+ Abaqus co-simulation
 

Outcome & Conclusion:

CFD FSI Simulation results were validated with experiments. Published the findings at the International Conference.

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
 
7 Temasek Boulevard,
No 12-07, Suntec Tower 1,
Singapore 038987

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

.

Discuss With Us Your Project!