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Fluid Dynamics Simulation

Fluid Dynamics simulation is an advanced Computational engineering simulation method which is based on the study of fluid mechanics formulation. It enables CFD consulting engineers and CFD companies in Singapore to accurately model, simulate, and analysis of the fluid flow (either Liquid or Gas) behaviors created by passing through or around specific object designs. Using highly efficient computer-based Fluid Dynamics Engineering CFD Simulation software tool, it has made it possible for our CFD services to quickly Model, Simulate and efficiently Analysis fluid flow and heat transfer performance within a mechanical, electronic, or electrical systems, without the need for any complex analysis and calculation.

Featured Fluid Dynamics Simulation Case Studies

Acoustic analysis

CFD Analysis of Acoustic Energy

Submarine air tanks are vented through-pressure ensure exhaust system composed of a valve and several ducts. The exhaust process generates high levels of sonic energy that may damage other components or present a risk for human health.
A CFD study was carried out to foresee the levels of acoustic energy generated by different designs and configurations. The information obtained was used to preselect the best designs, which were eventually tested on a test bench to confirm the conclusions met by the CAE analysis. The sonic level was eventually reduced from 400 to 100 dB.

Gas leakage explosion investigation

Investigation of Gas Leakage Explosion

Authorities suspected that a gas leakage was the cause of an explosion in a building. A CFD model was built to analyze different possible scenarios and the behavior of the gas under different leakage hypothesis.
The model included the whole building, elevator shaft, ventilation ducts, underground garage and part of the street underground and public sewers. Various dispersion times and propane concentrations were analyzed.

Overview 

Below is a workflow overview of our CFD consulting services at BroadTech Engineering.

1. CFD Modelling

Using 3D CAD modeling, a scale simulation model of the CFD modeling system or prototype design to be studied is created.

2. CFD Simulation

1. By applying the theory of fluid flow physics (eg. Navier-Stokes equations) and chemistry to this virtual prototype, the Computational Fluid Dynamics (CFD) simulation software will generate a prediction of the fluid dynamics and related physical phenomena via fluid dynamic analysis.
2. Through the CFD analysis of the results generated from the incorporation of the design and its details into the simulation model, one is able to determine the resultant 3D flow behavior of mass and energy, This includes scenarios such as
1. 3D Flow of Fluids (either Gases or Liquids)- this includes Unsteady and compressible flows
2. Heat temperature transfer during heat dissipation
3. Mass transfer during diffusion mixing between 2 fluid bodies
4. Moving bodies
5. multiphase physics
5. Chemical reaction
6. Fluid-structure interaction
7. Acoustics

 

3. CFD Analysis

Computational Fluid Dynamics (CFD) analysis gives engineers a means to gain deeper insights into the prototype design performance behavior.
Base on the CFD flow analysis results obtained from the CFD fluid dynamic simulation, it makes it possible to

1. Test & Validate New Design

CFD simulation enables the subjecting of the prototype design to various usage scenarios in a virtual simulation environment without the need for any actual prototype testing, physical test, or time-consuming cyclic endurance testing.

2. Identify Flow Concentration Hotspots

Analyze Airflow dynamics & thermal distribution, to identify and investigate any pressure hotspot areas via the use of CFD thermal analysis.
eg. Helps ESD consultants and Green Building consultants to optimize Building aerodynamics for natural wind ventilation.

3. Refine & Optimize Design without Physical Prototyping

Optimize prototype design to strike a balance between various opposing related parameters, such as
eg. equipment power requirements and Equipment safety
Through the testing and validation of various design iteration in a digital simulation environment, it allows engineers to refine their design to get their detailed designs right the 1st time even before the first actual prototype is being fabricated & tested physically.

Overview

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!

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Fluid Dynamics Simulation

1. Early Engineering Insights During Design Phase

2. Cost Savings in Engineering Development

2. Cost Savings in Engineering Development

3. Practical Industrial Benefits

3. Practical Industrial Benefits

Features & Benefits of Fluid Dynamics Simulation

1. Early Engineering Insights During Design Phase

Fluid Dynamics Simulation offers the benefit of removing the complexity out of fluid flow analysis by allowing you to easily calculate fluid forces and understand the impact of a design decision on product performance in a liquid or gas medium.

Engineering Simulation as A Replacement for Physical Testing

When the power of Fluid Dynamics is incorporated into a regular component of your engineering design workflow, it effectively eliminates the need for the actual fabrication and testing of physical prototypes.
This helps to save time and money and accelerate the rate of innovation.

2. Cost Savings in Engineering Development

As the engineering Simulation is incorporated early in the engineering design process, the computational fluid analysis makes it possible for engineers to identify and quickly rectify any potential design problems early in the development process.
This helps to prevent the design issues from discovered too late in the engineering development process, such as during pre-production, where any design change will involve serious project schedule delays and costly tooling re-work, which can easily cost thousands of dollars.
Overall Computational Fluid dynamics simulation helps to help our clients save precious project man-hours and development cost.

3. Practical Industrial Benefits

The use of Computational Fluid Dynamics (CFD) simulation can virtually benefit all Engineering companies in a broad range of industries, such as Aerospace engineering, Automotive manufacturer, Bio life science, Defense Technology and Industrial Machinery.

Broad Range of Simulation Capabilities

At BroadTech engineering, we are able to accurately simulate a wide range of physics models so you can obtain in-depth engineering insight into heat transfer and fluid flow behavior that is critical to your design success covering a broad range of applications:

● Simulation of Heat transfer in solids
● External and internal fluid flow Simulation
● Time-dependent flow Simulation
● Analysis of Laminar, turbulent, and transitional flows
● Analysis of Liquid and gas flow with heat transfer
● Analysis of Subsonic, transonic, and supersonic regimes
● Simulation of Gas mixture, liquid mixture
● Analysis of Water vapor (steam)
● Analysis Conjugate heat transfer
● Simulation of  Real Gases
● Simulation of  Non-Newtonian liquids (to simulate blood, honey, molten plastics)
● Analysis of Incompressible and compressible liquid
● Analysis Compressible gas

Call Us for a Free Consultation

Discover more about what Fluid Dynamics Simulation can do for your company today by calling us today at +6581822236 for a no obligation discussion of your needs.
If you have any questions or queries, our knowledgeable and friendly representative will be happy to assist and share to you in details the benefits & features of Fluid Dynamics Simulation in your companies engineering product development.

Alternatively, for quote request, simply email us your technical specifications & requirements to info@broadtechengineering.com

Other Featured Fluid Dynamics Simulation Case Studies

Aerodynamic Pressure Distribution on `SEA KING` Helicopter with And without Radar Mounting.

 

Abstract

Modeling the Aerodynamic Pressure Distribution on the aircraft using CFD Fluid Flow Simulation is very important because force distribution changes flight stability. In this investigation, Forgiven two different types of SEA KING Helicopter configuration which is flaying around 10000 ft at different Mach numbers. We have to inspect flow distribution around the helicopter with and without radar mounting.

Problem statement

Aircraft lift and drag for based on the air medium properties and shape of the aircraft.
For this investigation, the configuration with radar and without radar pressure distribution have different flow patterns based on the flow Physics.
we can say easily but where it is happening exactly and the Recirculation zone identifying based on experimental or CFD approach can investigate. Our CFD Engineer adopted a CFD approach because of its cost and time-saving.
The Helicopter flying at four different speeds respectively 100,120,140,160 Knot. Our CFD Consultant has to simulate a total of eight cases with and without radar.

Analysis Methodology

The CFD Flow Simulation studies for Aerodynamics of Helicopter are carried out using ANSYS- Fluent Solver. The Geometry for Helicopter and Radar is generated in CATIA V5-R20 and ANSYS-Design Modeler. To obtain better mesh in the vicinity of radar defeaturing tolerance was added, Conventional meshing capabilities were utilized and complete flow domain for external flow analysis was modeled to reflect scenario at an altitude of 10000 ft. Structural members who did not have any role inside the flow domain study were neglected to reduce the errors in computation and help the CFD Services Companies to achieve desired CFD Modeling objectives.

The Strategy adopted is as listed below,

  1. Boundary conditions & CAD model assembly of Radar mounting on the helicopter was studied as part of the scope of work for the CFD Consultancy Project.
  2. Generate Control volume for external flow analysis based on Assembly of CAD models. Generate Control volume for external flow analysis based on Assembly of CAD models.
  3. For external aerodynamic flow analysis Y+ value is very important based on universal y+ law gave appropriate first cell height form the wall And so meshing size all so play a major roll in CFD Analysis.
  4. The critical surface was meshed with a very high density of mesh to enable the CFD research and Consultancy Simulation to capture physics accurately as much as possible.
  5. In Ansys Fluent, Fluid domain selected with SST-K-Omega turbulence model because Rein greater than 20000, and selected turbulent model is highly accurate for external flow analysis where wall forces are very important. Inlet boundary condition was selected at the inlet, outflow boundary for an outlet because reverse flow was expected.
     Symmetry for other walls of a box, Helicopter skin portion was considered in the Fluid Flow Simulation as a wall with no-slip condition.
  6. Air material Properties at 10,000 f

Outcome & Results

Here are the following things we have to find out from CFD Simulation Tool
  1. Flow parameters identification
  2. Flow Profiles, Streamlines, Velocity Contours
  3. Recirculation detection if any
  4. Stagnation Point zones
  5. The drag force, Aerodynamic Pressure on Helicopter front portion.

Conclusion

Our CFD Simulation Results obtained as part of the CFD Analysis Services provided to our client shows shifting of stagnation point towards right side so we have to counterbalance that force by alternative sources towards left or some other ways like geometry shape changes.
 
 
 

 

Numerical analysis of gas distribution in fluidized beds

 

Objective 

The objectives of this CFD Design project are to improve the performance of fluidized bed drying using different ideas such as new designs of the distribution plate and gas chamber, by modifying the gas injection system or by using intermittency. The goal is to carry out a numerical study to understand the effect of various operating parameters and geometric changes. The numerical CFD simulations will be carried out using ANSYS Fluent V18.2. ;

Methodology 

The Gas distribution of the fluidized bed column is simulated in stages. First, the gas chamber and the gas distributor are simulated together for a single-phase i.e., air as an inlet fluid.
The single and multi-phase flow theories used for the current CFD simulations using ANSYS Fluent V18.2, Transient flow, drag model applied, group B particle of 275-micron diameter is used, grid independence test is carried out to understand the effects of grid sizing ;

Outcome/Conclusion –

In this research, several gas distribution systems with various gas distributor designs were proposed. Their performance in terms of the uniformity of gas distribution at the exit of orifice holes of the gas distributor was examined with the use of computational fluid dynamic analysis. The CFD simulations were carried out in ANSYS FLUENT v18.1 and 18.2 using single and multiphase models. The base case design of gas distributor with a uniform percentage open area showed the non-uniform distribution of gas. Hence, the distributor geometries with different percentage open area (for circular pattern and triangular pitch arrangement), type of gas entry were used to understand if the quality of fluidization can be improved. It was observed that the non-uniformity of gas distribution of circular pattern increases as the percentage open area is increased from 15 to 20; however, the gas distribution again improved for 25% open area, we would like to check this behavior again. On the other hand, for the triangular pitch arrangement of the orifice holes (which is the most commonly used arrangement in industries), the non-uniformity increases as the percentage open area are increased. The comparison of two patterns of orifice arrangement for the lower open area showed that the triangular pitch arrangement provides a better air distribution. The results also revealed that the non-uniformity in air distribution occurs mainly in the central and middle part of gas distributor for lower open area, while, for the plates with higher percentage open area, the non-uniformity is prominent near the edges of the gas distributor plate. An attempt is made to further improve the uniformity using variable open areas in different regions of the plate. The CFD Simulation results of the variable opening area proved that the new design can generate better gas distribution with a more uniform velocity pattern than the designs discussed earlier, at least for the bottom entry of the gas nozzle. The simulation results also show that the gas distribution is severely affected by a gas nozzle entry position. The results show that the bottom entry position of nozzle provides uniform distribution, while the side entry results in severe non-uniformity in gas distribution.
The two-phase fluidized bed FSI simulations were also carried out to analyze the particle behavior in the presence of gas distributor with varying percentage open area and different gas inlet entry. The Eulerian-Eulerian approach is incorporated in the two-phase CFD simulation with a constant volume fraction. The CFD FSI Analysis results showed that the particles gradually start fluidizing at lower flow time, as the flow time increases the bed expands, and the fast fluidization is observed, eventually the particle fall back in the bed. The higher percentage of open area showed a turbulent regime. For the fluidized bed with side entry, the results showed that the particles start fluidizing on the side of the chamber opposite to the entry position. In general, lower percentage open area and bottom entry of the gas nozzle should be preferred. The other parameters used were the optimized parameters from the previous work. However, more detailed two-phase CFD simulations should be carried out to further analyze the use of the variable open area for uniform fluidization.
 
 

 

CFD Simulation of External Aerodynamics Analysis of a Truck

 

The main objective of this CFD simulation project tasked to our CFD Consulting Company is to investigate flow around & over a truck to evaluate the drag coefficient.
A wind tunnel model with tractor & Trailer with the gap was setup in CFD solver used for the Computational Fluid Flow Analysis. Boundary conditions with different speeds and yaw angles were given.
The pressure distribution over the frontal area and the rear vacuum regions and drag forces were evaluated as part of the Computational Fluid Dynamics Simulation. Based on the results from the Computational Fluid Dynamics Analysis, some local modifications are made to reduce the drag coefficient.
 
 

 

CFD Simulation of Filling of Engine Coolant Circuit

 

The main objective of this simulation was to find out the time required to fill the circuit and to check air trapped areas.
A VOF model was set up in the CFD simulation and multiphysics Simulation was used as part of the scope of work for the CFD consulting project. To study the effect of a pump in the circuit, both static & dynamic filling simulations are carried out.
The time taken to fill the coolant circuit with & without effect of the pump was known. The air trapped areas in the circuit are known.
 
 

 

CFD Optimization of Insulation thickness based on Wall oven temperature profile 

 

Objective:

Optimize the Insulation thickness based on temperature profile across the wall oven

Methodology:

Conjugate Heat Transfer Method in Fluent Solver with solid and fluid mesh. Involved Conduction, Convection, and Radiation in this problem.

Outcome:

Temperature Profile on the outer door of the wall oven. Based on the optimized temperature, the insulation thickness is optimized and also heat sink is finalized to keep the minimum required temperature on the wall door.
 
 

 

CFD Analysis of Arterial Blood Filter

 

The Arterial Blood Filter (ABF) is used to remove the air bubbles of size greater than 40 microns. Due to tangential circular flow inside the ABF the air bubble experience lesser centrifugal force and can be removed from the top of the filter. This kind of flow causes some pressure drop. This action is simulated for different flow rates.
The fluid domain of the ABF component is extracted for this Blood Flow CFD Simulation. The filter is complex geometry and it is replaced with porous media. The Darcy and Forchheimer coefficients are calculated and gave as an input to the porous media. This will provide the same resistance provided by the filter. This analysis is carried out for other flow rates as well.
 
It is observed that the pressure drop increases with the flow rate. The pressure drop is measured using probes across the filter.

Large Eddy Simulation of a Reduced Scale Swirl-Stabilized Burner

1. To investigate the effect of spatial and temporal non-uniformity of mixture on polluting emission
2. Solving the Favre filtered Navier-Stokes equations for conservation of mass, momentum, and energy with CH4, O2 and N2 as species and without species source terms.
3. LES results were used to explain the mechanism of flame stabilization and pollutant emission of premixed and stratified flame configurations of the experiments

LED of flame TSF-A-r of the Darmstadt Lean/Lean Stratified Burner

1. To introduce an accelerated computation of combustion with finite-rate chemistry using LES and an open source library for In-Situ-Adaptive Tabulation
2. Solving the Favre filtered Navier-Stokes equations for conservation of mass, momentum, and energy with 19 reacting species
3. The performance of LES-FRC with a partially stirred reactor combustion model, utilizing a relatively complex skeletal mechanism and ISAT-CK7-Cantera was evaluated.

Separation Control on Low-Pressure Turbine by Passive Techniques 

Project Objective: The main objective of this project was to visualize the flow using Gamma-Theta Model and control the separation of a low-pressure turbine on the suction side.
Methodology: Mesh and time independence studies were carried out to validate the experimental data. Geometry modifications were made to control separation, i.e. bumps, dimple, and backward step.
Outcome:
It was found that backward step and dimple geometries reduce the loss coefficient to 12%, but at the different axial location. The results of this project are published in 5 international conferences.

CFD Simulation Analysis of Steady, Turbulent Pipe Fluid flow through a Flow Restrictor 

CFD validation of steady, turbulent flow in straight pipe fitted with flow restrictor (used in internal ducting in aircraft).
Project Objective: Objective of the project was to study the effect of the flow restrictor and validate
the results with experimental data.
Challenges:
– Use the surface wrapper technology to prepare CFD model.
– Performing the grid independence analysis to achieve the optimum mesh for
different mesher.
– Performing the turbulence sensitivity study.

Large Eddy Simulation of a Swirl-Stabilized Pilot Combustor from Conventional to Flameless Mode

1. To investigate flame and flow structure of a swirl-stabilized pilot combustor in conventional, high temperature, and flameless modes
2. Finite rate chemistry combustion model with one step tuned mechanism and large eddy simulation is used to numerically simulate six cases in these modes.
3. Results show that moving towards high-temperature mode by increasing the preheating level, the combustor is prone to formation of thermal with higher risks of flashback.

CFD Analysis of Leakage Detection system for Residential Application 

 

The objective of this project was to detect the leakage in a piping system installed underground or any unseen location using CFD. As per the design, to detect the leakage in the main pipeline, an additional pipe with venturi (having long throat) was branched-out and branched-in to the main pipe.

 

Using CFD analysis, pressure change in the main pipe, secondary pipe and throat region were analyzed for different flow rate and throat size to find out best throat design for minimum flow rate. DesignModeler and ANSYS Meshing were used for Model cleanup, fluid volume extraction, and Meshing, respectively. CFD analysis was carried out by using the ANSYS Fluent.

CFD Simulation of Fluid Flow through 90 degrees Bend Pipe

CFD study of steady, turbulent flow through 90-degree bend pipe (used in internal ducting in aircraft).
Project Objective: Objective of the project was to study the fluid flow behavior and validate the
results with experimental data.
Challenges:
– Modeling the geometry
– Generating mesh and performing grid independence study which satisfies
most of the turbulence models (of course not all), which can be used as
reference for similar works in future.
– Performing turbulence sensitivity study.
 

Aerodynamic Optimization of the Gas system in 3D SLM (Selective Laser Melting) printer

 

Simulation Objective:

To perform aerodynamic Simulation optimization of the gas system of a 3D SLM (Selective Laser Melting) printer using ANSYS Optimization tool.

Methodology:

Firstly performed various aerodynamic analysis and Fluid Flow Simulation of the system to understand the flow behavior inside the gas system. With the data available from these Airflow simulations we formed a parameter that can be used as input for the optimization process. Finally performed the CFD optimization process of the gas system.

Outcome & Conclusion:

Using the CFD Design optimization technique, we were able to increase the efficiency of the gas system which simultaneously increases the efficiency of the 3D printer to a good extent. 
 
 

 

CFD Simulation of two-phase flow inside rotating Terry turbine of Nuclear Power Plant

CFD Turbulent Simulation of two-phase flow inside rotating Terry turbine of Nuclear Power Plant (include both air/water without phase change and steam/water with phase change)

Objective:

To perform Turbulent Flow Simulation to Model and Study the two-phase flow inside a rotating turbine.
 

Methodology/Approach:

+ Rotating turbine with Moving Reference Frames
+ Two-phase flow (N-phase, thermodynamic equilibrium formula)
+ RANS models
 

Outcome & Conclusion:

+ Results from the CFD Multiphysics Modeling Simulation provide velocity, pressure, moment and distribution of phase inside the device. All data will be used to develop an analytical formula for evaluating the safety of Nuclear Power Plant
+ From the Multiphase Flow Simulation, we concluded that the flow is supersonic. So, compressibility enhancement should be used and the nozzle part of the turbine should be refined to capture shock waves.
+ At this time, STAR-CCM+ only allows us to set the rotational speed of the turbine. But, we need a solver to perform the fluid-structure interaction FSI Simulation with the Fluid flow from the nozzle will push blades of the turbine.
 
 
 

 

CFD Aerodynamic Optimization of bi-directional flow turbine

 

Objective:

Aerodynamic performance enhancement of bi-directional flow turbine using Gurney flap and analysis using OpenFOAM CFD Software

Numerical Methodology

Design parameter: Gurney flap (0.5 to 3% Chord)
CAD Modeller: Solidworks 2015.
Grid generator: Ansys ICEM CFD 15.0.
Solver: OpenFOAM 4.0.
Post-processor: ParaView 5.5.2.
 
Wells turbine is a bi-directional flow turbine used in the oscillating water column (OWC) to harvest wave energy. The Wind Simulation Study consists of symmetrical blades and provides uni-directional torque for the oscillating airflow inside the OWC. A Gurney flap concept was introduced in both the pressure and suction side of the Wells turbine to retain the blade symmetry. The flap height was varied from 0.5% to 3% chord length and the performance characteristics were computed by solving 3D steady incompressible Reynolds-averaged Navier-Stokes equations using OpenFOAM.
The reference geometry of the Wells turbine was taken from the works of Toressi et al. (2008). A single blade with the periodic interface was chosen as a computational flow domain to reduce computational time and power. The flow domain was modeled using Solidworks, and Solid Edge and exported as.STEP file.
Later, the grid generated using Ansys ICEM CFD and exported in .msh format. It was used as input for OpenFOAM analysis. Grid convergence index was calculated to assess the numerical uncertainty and the present numerical results were compared with experimental and numerical results available in the open literature. The post-processing figures were obtained using ParaView to understand the fluid dynamics behind performance improvement.

Conclusions

  1. The Gurney flap increased blade loading and the torque produced.
  2. A pair of counter-rotating vortex was generated behind the trailing edge that modified the trailing edge Kutta condition which increased circulation and lifts. At a higher angle of attack, the counter-rotating vortex pair collapsed, and the aerodynamic benefit of the flap was diminished.
  3. A flap of 0.5% chord length enhanced the relative average torque produced by 10.7% with a decrement in relative average efficiency by 4.7% before stall condition.
  4. A flap height greater than 1.5% chord length advanced the stall and reduced the operating range.
  5. The above results from the Wind Load Analysis are published in the peer-reviewed journal “Ocean Engineering”.
  6. Introducing Gurney Flap to Wells Turbine Blade and Performance Analysis with OpenFOAM. Ocean Engineering 
 
 

 

Computation of Ventilation Losses and their Behavior Under Low Load/No-Load Conditions for Application in the Future Design of Steam Turbines

The overall project involves the development of a computational code that can identify the severe condition of ventilation in the steam turbine. The key objectives of the project were
  1. to develop and verify a 1-D code to identify the most severe condition during ventilation
  2. to carry out the three-dimensional high-fidelity numerical studies of steam flow at the multistage steam turbine and validate the 1-D code through predictions, and analyses the effect of ventilation loses on the performance of the steam turbine.
 
The project has been investigated into two phases as follows;

1. Initial Phase

° Initial phase covers the deployment of the 1-D code to identify the most severe condition during ventilation based on the operational history provided by the agency. For this purpose, a parametric Heat Transfer Simulation study has been conducted to investigate the effects of thermal boundary conditions on the steam turbine cylinder to understand the initiation of the compressor mode (Low load condition). [Theoretical Modelling]
 

2. 2nd Phase

° The second phase of the study covers the investigation of compressor mode with the modeling of steam flow across the multistage rotor-stator configuration with actual turbine blades. Subsequently, the effect of ventilation loses on the performance of the steam turbine is calculated using Heat Exchanger Simulation.
[Rotor-Stator flow modeling, Heat transfer, Mixing Plane Method, Sliding Mesh Method]
 
 
 

 

Three Dimensional Numerical Study in an Afterburner of a Gas Turbine Engine:

 

Studied various configurations of the flame holder in Ansys Fluent while varying blockage factor and analyzed flow behavior in an afterburner for non-reacting flow conditions.
2D CFD Thermal Simulation of the flow around airfoil NACA 0012
As part of our CFD Modeling Services for the client, we use ANSYS Fluent for solving the problem
Generating the geometry was by DM on the workbench
Meshing for the Airfoil Simulation was by ANSYS meshing tool and at last, we use different solver like SIMPLE and PISO for simulating the fluid flow around an airfoil
ANSYS uses FVM for predicting the different feature in each cell
Our CFD Consultants have submitted 2 articles with these Thermodynamics simulations and the results are described in these papers
 
  1. Transonic flow over NACA 0012 airfoil, using Fortran code based on Euler Equations with results in terms of pressure distribution e lift coefficient. Also, it was observed from the CFD Turbulence Modeling results of the slotted test section of a transonic wind tunnel.
  2. CFD Thermal Analysis of the convergent-divergent transonic nozzle to increase the wind tunnel envelope reducing shock wave reflections, using Fortran code based on Euler Equations with results in terms of Mach number on the test section.
  3. Aerodynamics analysis of wing and fuselage of small aircraft using Fluent with turbulence model k-e. The Computational Aeroacoustics results were obtained in terms of drag, lift and moment coefficients and compared with wind tunnel testing. Good concordance to wind tunnel.
 
 

 

Study of the Coupled Airwake and Its Control Over Helodeck of Naval Ships for Safe Onboard Helicopter Operations

The overall CFD consulting project involves the experimental and computational modeling of the ship-helicopter Dynamic Interface (DI).
The key objectives of the Wind flow Analysis project were to develop
  1. an economical design tool employing both experimental as well as computational techniques to assess the ship-helo dynamic interface at the early design stage, and
  2. establish a set of design criteria to grade a particular combination of ship and helicopter DI for safe helo-operations.
 
 

 

Improvement of Metal Casting Quality through Numerical Investigation

  1. Simulated the molten metal flow using Transient Thermal Analysis to predict disturbance create in the path of flow and location of trapped air in a mold cavity.
  2. CFD Analysis on Ansys Fluent for Multiphase Flow (Volume Of Fluid) and Solidification of the Casting process,
  3. Investigating Solidification of the cast under the different imposed boundary condition using Steady-State Thermal Analysis
 
 

 

IMESCON (Innovative MEthods of Separated flow Control in Aeronautics), 

FP7 Marie Curie ITN project in the area of active flow control technology and rotor performance prediction. Performed CFD Turbulent Modeling investigation of aerofoil aerodynamics for evaluating rotor blade stall characteristics and the impact of active flow control systems on alleviating dynamic stall.