Professional Computational Fluid Dynamics (CFD) Modeling
CFD modeling is today considered by most CFD companies as one of the most precise Numerical modeling methods for the analysis of fluid flow challenges.
Our CFD consulting engineers at our Singapore Office in BroadTech Engineering uses a range of computer CFD modeling software tools to solve complex fluid flow problems based upon the goals and objective of our client’s specific project.
During the rendering of our CFD consulting services, a high level of detail can be represented in the model build and will subsequently be refined and relaxed in order to achieve an optimum balance between visual CFD modeling representation and computational fluid analysis accuracy.
Featured CFD Modeling Case Studies
Thermal Comfort Mapping
We remodeled the mall building and needed to address the thermal comfort level reached in some spots under the strong prevailing winds in the region. A dynamic thermal comfort study was carried out, along with comfort and radiation analysis in the terrace areas.
Different set-ups of windscreens and flowerpots were designed and evaluated in order to maximize comfort conditions (along with greenhouse effect, climatization of spaces and circular wind currents created by the mall´s circular shape.
CFD Analysis of Double Glazing Facade
Our client is developing new pre-fabricated modules to build new sustainable and energy efficient buildings. An energy efficiency study on glazed and double facades was carried out to obtain the thermal characterization of the module design.
Solar irradiation and stack effect probed themselves the most relevant factors to be addressed in local climates. The study also obtained information about the usability of photovoltaic materials installed on the solar screens.
What is CFD
CFD or computational fluid dynamics is the analysis of the Fluid flow of liquids and gases in and around specifically designed objects under study. It also involves the numerical modeling and CFD simulation of thermal behaviors via CFD Thermal analysis.
The equations governing fluid dynamics is complex and is often unsolvable manually by hand. However, through the use of CFD simulation software methods and algorithms, it has made it possible for CFD services to accurately predict the Fluid flow behavior of liquid and gases as well as its interaction with the engineering product designed.
Why CFD Simulation
CFD analysis is an important part of the engineering development process as it helps to boost the energy efficiency of design performance, reduce the risk of malfunction and helps to accelerate innovation in engineering design.
By having to understand the forces that affect the fluid dynamics simulation you can make the critical design decisions that can significantly reduce energy expenditure and enhance performance efficiency
Expanding Role of CFD Modelling
The role that Computational Fluid Dynamics (CFD) numerical simulation tool play in the engineering design process is constantly expanding in its application in a wide range of Engineering design and Fluid dynamics Analysis in the recent years.
Because the virtual test simulation is conducted under a controlled environmental condition and the amount of test data it can provide is much more comprehensive than any complex physical model test.
With the increasing computational power of today’s computer hardware, it has made CFD modeling a highly attractive alternative to physical laboratory testing.
Types of CFD Modelling
The theoretical foundation that governs all CFD modeling is the Navier-Stokes equations. This set of physics equation can be used to mathematically describe both Single phases as well as Multiphase fluid flow conditions.
At BroadTech Engineering, we use advanced CFD modeling and CFD flow analysis software which covers extensively a wide range of our client’s engineering analysis challenges such as
These engineering simulation scenarios are often done in combination or as a supplement to testing of physical prototype models.
Features & Benefits of CFD Modeling
1. Comprehensive Picture
CFD modeling and simulation results are able to offer a detailed and full insight of the physics and hydro-dynamics performance behavior of the investigated problem. The Ability to accurately understand and investigate the dynamic motion behavior of Fluid flow of liquids and gasses in detail is of great value in the optimization of a wide range of engineering design applications This is in contrast to physical prototype testing, where the test data/results captured is only limited/restricted to few measuring points.
2. Early Validation of Engineering Design
Through the running of CFD simulation analysis throughout the engineering design process design flaws such as errors in judgment, can be identified and addressed before they turn into serious problems, such as
The consequence of such failures can be serious, such as product recall from the market, legal lawsuits or even loss of life.
We Help Our Clients Gain Valuable Insights to Optimize and Improve Product Performance, Reliability, and Efficiency.
1. Powerful CFD Simulation Software Tools
2. CFD Consultants with Extensive Research & Professional Experience
3. Projects Completed in a Timely and Cost-effective Manner
4. Proven Track Record
6. Full Knowledge Transfer
Call Us for a Free Consultation
Explore what CFD Modeling can do for your company today by calling us at +6581822236 for a no obligation discussion of your needs.
If you have any questions or queries, our knowledgeable and friendly consultants will be glad to assist and understand more about your simulation needs and requirements
Alternatively, for quote request, simply email us your detailed technical specifications & requirements to firstname.lastname@example.org
Other Featured CFD Modeling Case Studies
Design of Single Stage Axial Gas Turbine
Objective: To design a single stage axial gas turbine to the given parameters
Methodology: Hand calculation for the initial flow path sizing | Meanline design in Concepts NREC’s AXIAL | Blade profiling and blade-to-blade analysis of Concepts
NREC’s AxCent | Grid generation in NUMECA’s AutoGrid5 | 3D analysis and extensive flow field study in ANSYS-CFX and NUMECA’s FineTurbo
Outcome: We met the given requirements of the axial turbine
Supersonic Flow past a Cavity using LES approach
Objective: To study the flow field of a supersonic flow of Mach number 2.0 over an open cavity and to employ a spoiler in front of the cavity to reduce shocks and noise and its comparison with the open cavity without a spoiler.
Methodology: Large Eddy Simulations’s Smagorinsky model was employed | Design in OpenFoam and Visualization in Paraview.
Outcome: Employing a Spoiler in the same of a half cylinder reduced the shocks and noise produced.
Steady Analysis of a Small Gas Turbine Engine
Objective: To study the effect of fillet on the gas turbine performance of a Small Gas Turbine Engine
Methodology: Fillet and grid generation in NUMECA’s AutoGrid5 | 3D analysis in ANSYS-CFX
Outcome: There was a decrease in performance, however, still meeting the desired design requirements
CFD Modeling of Natural Convection in Vertically Heated Rods
My thesis titled “CFD Modelling of Natural Convection in Vertically Heated Rods” was a validation project funded by U.S DOE. The project aimed to validate CFD results using experimental data. The motivation behind the plan was to study the cooling effects of natural convection in vertically heated rods about spent nuclear fuel cells.
The simulation was performed using STAR-CCM+ using HPC cluster. Various turbulence models were studied. The wall Y+ for natural convection modeling was maintained at ~1. About 10 million mesh cells were generated as part of this conjugate heat transfer problem. Structured hexahedral meshes were used. Two-layer models with Xu and Wolfstien near-wall formulations were compared. Various turbulence models, such as k-epsilon, Spallart-Allmaras, Realizable k-epsilon, k-omega, etc., were analyzed.
Based on the results, it was found that the most of the turbulence models were unsuitable for transitional flow physics. At various locations in the domain, the turbulence models exhibited poor agreement with the experimental results. However, the empirical results showed good agreement on the temperature profiles in the vertically heated rods.
Types of CFD Simulation Scenarios
1. Compressible Flow
A Compressible fluid flow is where the fluid density changes with the Pressure values. Such Fluid flows are typically high speed flows with Mach numbers more than 0.3
Examples include Aerodynamic applications such as optimization of Fluid flow over a plane wing aerofoil as well as applications in industrial processes such as engineering of Fluid flow through high-performance grade valves
The simulation analysis of compressible flow takes into account the formation of shocks.
In the case of liquid, it comes in the form of water hammers.
2. Incompressible Flow
In most engineering applications, the Fluid flow involved is incompressible and turbulent, where the flow speed is below Mach 0.3. In such simulation applications, an Advanced solver is needed.
Cavitation is a physical phenomenon that occurs in many high-velocity liquid flows. It occurs when vapor bubbles are formed when the liquid pressure falls below the vapor pressure of the liquid.
Prolonged cavitation have a negative effect of causing pitting and erosion in devices, resulting in significant reduction in efficiency, costly downtime and repairs
Cavitation is a common occurrence in equipment, such as
Using CFD simulation, we are able to efficiently and quickly analyzed
Let us quickly cover the basic terminology of Engineering Simulation and Computational Fluid Dynamics (CFD) mean and how they fit into your engineering development workflow processes.
What is Engineering Simulation
Engineering Simulation is an integral and key part of the digital prototyping process. Essentially the 3d CAD modeling of your product concept design is your digital prototype.
It is from this digital model that important engineering design data is verified, Tested and Validated along each of the engineering development value chain in the businesses, from Fabrication to Production and finally to Sales and Marketing
Engineering simulation is used mainly in the early Test and Validation phase of the digital prototyping process, during which important questions need to be answered. This includes questions such as:
Why Engineering Simulation
Engineering Simulation allows companies to create better products in less time and at lower costs.
1. Early Engineering Insights
Engineering simulation offers Accurate and Reliable results early in the design development process to help the team make more informed design decisions to optimize their products.
It also allows Failure modes to be identified and flaws to uncovered early in the engineering development phase where there is flexibility for corrective action allows changes to be implemented relatively with minimal cost.
This helps tremendously in the creation of higher quality products and prevents costly product failure when the product is launched.
2. Save Time & Money
Traditionally, questions concerning a design performance have been answered through by Fabricating and Testing numerous physical prototype variants which is an extremely expensive and tedious process.
By leveraging on engineering simulation, you can test digital models in a virtual environment, thereby helping to reduce time and cost as fewer physical prototypes are required for testing.
3. Complete Picture
Through the use of CFD simulation analysis, it is able to provide a comprehensive view of the fluid flow behavior.
This accurate engineering insight helps to inspire questions and critical thinking which is important for driving innovation.
This is in contrast to the individual testing of each variation of physical prototypes, which only provides discrete pieces of test data
4. Accelerated Testing Cycle & Rate of Innovation
In a virtual simulation environment, designers and engineers have the flexibility to test and Explore more what-if scenarios as such engineering simulation is not bounded by physical scale, cost, or external environmental conditions.
As the performance of specific Engineering designs when subjected to specific external conditions can be accurately predicted, it helps to shorten the prototype testing cycles involved in optimizing the Materials and Design features.