Professional Computational Fluid Dynamics Simulation
CFD analysis services are one of the main consulting strengths of our team of specialized CFD consulting experts at our Singapore Office in BroadTech Engineering.
Computational Fluid Dynamics (CFD) simulation analysis works by giving engineers total insights into Dynamic fluid flow behaviors, such as Airflow and Thermal temperature distribution. CFD Flow analysis can be incorporated early in your engineering development process during the conceptual phase to Validate and Optimize Designs.
As CFD analysis provides a Qualitative (and occasionally Quantitative) prediction of a fluid flow behavior, our CFD consulting services allows Simulation Engineers and Scientists to perform ‘numerical experiments’ (i.e. computer simulations) in a ‘virtual flow laboratory’ to accurately simulate product design performance, Optimize and Improve Design performance, and Verify product Fluid Dynamic behavior as early as possible in the engineering development phase.
What is Computational Fluid Dynamics (CFD)
Computational Fluid Dynamics (CFD) is a highly multidisciplinary area of research which lies at the interface of Physics, Applied mathematics, and Computer science.
CFD simulation is a computational 3-dimensional Fluid Dynamics simulation analysis technology that uses numerical methods to solve and analyze the technical challenges and problems that involve precision engineering of fluid flows and mitigating thermal issues.
CFD Fluid Dynamic Analysis involves replacing Partial differential equations (PDE) systems with a set of Algebraic equations which can be solved mathematically using the digital CFD Simulation Software.
Featured CFD Analysis Case Studies
Turbulence Analysis of Antenna
Our client needed to update the antennas of its first high-speed passenger train to incorporate 4G mobile coverage. Due to the physical size and design of these transmission antennas, a turbulence study was required in order to ensure that no negative aerodynamic influence reached the pantograph area on the locomotive. Different antenna design iterations were evaluated at several speed regimes, checking the pressure distribution and turbulence fields on the pantograph and their associated fluctuating aerodynamic stresses.
Turbine Discharge CFD Analysis
Our client builds and installs small turbine systems and their associated facilities. For this project, they needed to improve the mass flow of water fluid extracted from a turbine discharge pool towards the city. The narrow space available at the discharge pool and the filter required for safety protection at the pipe entrance seriously reduced the available water output. Different options were analyzed in order to put the kynetic energy from the turbine output to work to our advantage and maximize available fluid pressure at the extraction pipe.
Features & Benefits of Computational Fluid Dynamics (CFD)
CFD Computational Fluid Analysis offers an engineering insight into fluid flow pattern behaviors that are challenging, expensive or impractical to recreate and study using traditional experimental techniques.
CFD simulation software offers many advantages such as
1. Informed Engineering Decisions
This allows design teams to make informed engineering and operational based decisions so as to create Products and Processes which are more Efficient, Integrated and optimized to Performs better-optimized performance.
The use of CFD services to analyze the development of specific engineering applications allows you to implement the best fit solution for your unique application, minimize the risk of failure, maximize performance efficiency.
The flexible option to offer easy & fast adjustment of test configuration makes it possible to save prototype testing time by having the ability to carry out parallel, Multiple-purposed model design Verification testing on practically any test configuration.
This is in contrast to Conventional single-purposed Physical testing which is usually Slow, Sequential.
3. Comprehensive & Accurate Test Input Parameters
Can Account for All Operational Environmental Conditions
Computational Fluid Analysis carried out by a CFD software offers a Realistic Quantitative simulation of fluid flow phenomena which takes into account all the desire input qualities.
Accurate Mathematical model
Simulation in a virtual time and space environment allows the creation of a Mathematical model which is High resolution and Full Scale (instead of sized-down models in physical experiments)
4. Lower Cost
1. Testing Cost
Cheaper cost of testing and validation of new innovative designs by removing the need for expensive physical fatigue testing of prototypes.
It also eliminates the need for the use of actual physical Test Equipment which is physically challenging and expensive to transport. This allows for a larger number of test simulation studies to be carried out and gives a larger collection of data points and time instants
2. Capital Cost
Gain confidence in a design concept before committing large investment financially and in terms of project resources
This help organization to effectively reducing both capital and operational costs.
3. Operational Cost
Increase overall efficiency of facility through CFD simulation of various set points and loads
5. Maximize Operation Uptime
CFD simulation analysis is able to identify and highlights any Potential issues or Failure scenario before they arise.
This allows for the understanding of effective ways to improve system redundancy so as to Maximize Operation uptime and Optimize the efficiency of system performance.
This approach often adopted by CFD companies helps to provide an effective design and gives confidence that your building facility and equipment will perform at its best.
We Help Our Clients Gain Valuable Insights to Optimize and Improve Product Performance, Reliability, and Efficiency.
1. Powerful CFD Simulation Software Tools
2. FEA Consultants with Extensive Research & Professional Experience
3. FEA projects Completed in a Timely and Cost-effective Manner
4. Proven Track Record
6. Full Knowledge Transfer
Computational Fluid Dynamics (CFD) Process
CFD is performed/carried out by means of using the following methods
1. Mathematical Model
Mathematical CFD modeling of fluid analysis challenge to be solved expressed using Partial differential equations (PDE) eg. IBVP = PDE + IC + BC
2. Discretization Process
The Discretization process involves having the PDE system mathematically transformed into a set of algebraic equations. Numerical analysis methods based on discretization includes
1. Mesh Generation
This involves decomposition of the model into Cell elements and Time instants.
The Node elements can be either Structured or unstructured, Triangular or Quadrilateral.
2. Space Discretization
This is the approximation of spatial derivatives based on coupled ODE/DAE systems
3. Time Discretization
Time discretization is the approximation of temporal derivatives using Algebraic system Ax = b
3. CFD Simulation Software
Involves implementation of CFD Computer simulation software algorithm tools (Iterative solvers, Discrete function values, Pre- and postprocessing utilities) and Computer hardware to solve mathematical equations
The computing time taken for a CFD flow simulation depend on
4. Post-processing Visualization, Analysis of data
The human (simulation consultant) component input involved in this CFD simulation analysis involves stating the problems & inspection.
Post-processing of the CFD simulation results involves interpretation of the computed flow field to extract the desired information. This calls for knowledge and good judgment.
This involves the calculation of Derived quantities (such as Streamfunction, vorticity) and Integral parameters (lift, drag, total mass)
Visualization involves representation of numbers as visual images
Using Statistical tools the simulation data is Systematically Analyzed to Verify the CFD model
Call Us for a Free Consultation
Customers will be provided with fully customisable CFD reports which detail the Methodology, in-depth analysis, and recommendations.
This insight allows our customers to optimize performance and make informed engineering decisions in a scientific, proven manner.
Explore what CFD Analysis can do for your company now by calling us today at +6581822236 for a no obligation discussion of your needs.
If you have any questions our knowledgeable and friendly consultant will be happy to assist and understand more about your needs and requirements
Alternatively, for quote request, simply email us your technical specifications & requirements to email@example.com
Other CFD Analysis Case Studies
Simulation of Vortex-induced Vibrations (VIV) in Turbulent Flow
Aerodynamic Analysis of UAV
Natural Convection-driven Flow in a Glass Loop Capillary Tube
3D CFD Analysis of Components in IC engine exhaust layout using OpenFOAM
The methodology used: The concept was discussed among the team of four peoples and finally Orifice-type of EGR valve concept was approved for the analysis. I was assigned to design and do CFD analysis of the concept. I have used Pro-E for CAD, ICEMCFD for meshing (tetra mesh) and OpenFOAM for CFD analysis.
Outcome and conclusion: It was found that, during the exhaust stroke of an engine, when both inlet and exhaust valves are open, a pressure in the exhaust valve is very low compared to an inlet. Hence, the air was moving out of the EGR valves and was not able to mix with exhaust gases. That is why, instead of the air-exhaust mixture, only the fresh air was supplied to the engine.
What is Fluid Flow
Fluid flows can be classified into either the following flow types
Fluid Flow is happening all around us
It is a natural occurrence that happens in the physical environment in our day-to-day life.
• Natural meteorological phenomena (rain, wind, hurricanes, floods, fires)
• Use of HVAC system for indoor Air Heating, Air Ventilating circulation and Air Cooling of building interior environment, Automobile passenger compartments
Limitations of Computational Fluid Analysis Testing Methods
As a rule, CFD cannot fully replace the actual measurements completely but the amount of actual experimentation and the overall cost of testing can be significantly reduced.
The results of a CFD simulation are never designed to be a 100% representation because
1. Limitations of Mathematical modeling
The mathematical model of the analysis challenge at hand may be inadequate
The underlying assumptions mathematical model can also affect the quality of the simulation results
2. Approximate Discretization Process
The data of the input parameter may involve a certain level of guessing or inaccuracy due to the discretization process.
This can result in possible Errors due to Modeling, Discretization, Flow disturbances due to probes.
3. Constraints of Computer Processing Power
Accuracy and Speed of the simulation results is limited by the current computer processing power available
Applications of Computational Fluid Dynamics (CFD)
Some of the applications of CFD Numerical simulation analysis of fluid flow includes
This includes optimization of natural air flow to minimize of thermal hotspots in building indoor environment, such as Datacenter facility & Retail environments. This is done by using CFD thermal analysis to design the optimal layout configuration.