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CFD Design

Computational Fluid Dynamics (CFD) Design

Computational Fluid Dynamics (CFD) Design is at the core of what we do at our Singapore office in BroadTech Engineering.

Featured CFD Design Case Studies

CFD Design

Brake Cooling System (co-simulation) in Star-CCM+

To find the temperature distribution in brake disc system using co-simulation methodology in STAR-CCM+, a commercial GUI based CFD modeling package. Determination of the temperature distribution and a peak temperature help in the improvement of aerodynamic conditions in and around the brake assembly reduces the risk of thermal brake failure and hence increases the component life.
Co-simulation is a special feature in STAR-CCM+ to couple two running simulation together during the Computational Fluid Dynamics Analysis.
It is advantageous to use such CFD simulation when dealing with widely varying time scales, i.e. the timescale of thermal conduction in solid is much longer than fluids. Hence fluid is treated by our CFD consultants as a steady state simulation and solid as a transient fluid dynamic analysis simulation. Co-simulation combines these two-varying time scale simulations and at one instance of STAR-CCM+ solves the solid domain and at the other solves the fluid domain, exchanging the data with each other.
This technique for computational fluid dynamics simulation saves CPU time and overall computational cost which maintaining the accuracy of the fluid flow analysis solution.

Modification in Air cleaner Design to Reduce the Pressure drop on the Basis of CFD Analysis

Air intake system and filter play a major role in getting good quality air into the automobile engine. It improves the combustion efficiency and also reduces air pollution. The air filters in an air intake system permanently remove foreign particles such as dust, dirt, and soot from the intake air, thereby maintaining the performance of the engine and protecting it from damage. Proper maintenance can help vehicles perform as designed; thereby positively affecting fuel economy, emissions, and overall drivability. Computational Fluid Dynamics (CFD) is considered to be the most cost-effective solution for CFD flow analysis of intake system along with filter media.
3D viscous CFD analysis was for Air Cleaner model to understand the flow behavior through the intake system, air filter geometry and filter media using Star- CM+ CFD simulation software.
Flow behavior through the intake system, air filter geometry, and filter media was studied during the fluid flow simulation and modification in design was suggested to reduce the pressure drop.
Modifications included enlargement of radii in the air cleaner and addition of flow guide vane. This modification has decreased pressure drop significantly and designers met customer requirement.

CFD study of Double-diffusive finger Convection using Finite Volume Method and Semi-implicit

Method for Pressure-Linked Equations Revised (SIMPLER) Algorithm
The double-diffusive instabilities, salt fingers, arises in oceans when hot and salty water lies in the cold and fresh water of greater density. Convection is driven by the varying diffusivity of the two components that contributes in the density variation, that is heat (T) and salinity (S), where diffusivity of heat is hundred times faster than the salt. Faster diffusing component (T) stabilizes the system whereas slower diffusing components (S) destabilizes the system with overall density stratification remaining stable. The convection in this state takes the form of rising and sinking fingers known as salt fingers.
Series of fluid dynamic simulations have been conducted in the heat-salt system for Rayleigh numbers ranging from 7 × 103 to 7 × 108  at neutral buoyancy ratio.
During the computational fluid analysis, we have identified many interesting features which have not been reported previously:
(a) at high thermal Rayleigh number (RaT), Salinity and temperature fields at high RaS have similar structures and are not distinguishable from each other throughout the evolution period. Soon after the thin fingers form at the interface, the convective motion undergoes a transition where new finger pairs are generated due to coalescence of neighboring fingers. We observe the generation of a new pair of fingers for RaT of 7 × 108, 7 × 107 and 7 × 106.
 (b) at low RaT, wide fingers evolve, and the effect of molecular diffusion is observed in the T fields only. As the system moves from being advection dominated at high RaT to diffusion dominated at low RaT, velocity in the fingers decreases substantially.

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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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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

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4. Proven Track Record

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5. Affordable

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Customers who engage in our CFD consulting services will be provided with fully tailored CFD reports which outline the Methodology, in-depth analysis, and recommendations.
This insight allows you to optimize performance and make informed engineering decisions in a scientific, proven manner.
If you are still interested in learning more about CFD design and to see what we as a CFD consultancy can do for you, simply call to contact us today at +6581822236 for a no obligation discussion of your needs.
if you have any questions, our knowledgeable and friendly sales representative will be happy to answer any of your queries about our CFD services and understand more about your needs and requirements
Alternatively, for quote request, simply email us your technical specifications & requirements to our CFD company email at info@broadtechengineering.com