Steps involved in any CFD Simulations & Industrial Applications of CFD

Objective: The objective of this report is to understand the different steps involved in any CFD simulation and the applications of CFD in Medical, Oil & Gas and Construction Industry

1. Steps involved in a CFD Simulation

 Step 1. CAD Modelling/Geometry Import

In this stage the product is modelled using any third party design tool such as Catia, Creo, NX CAD, Solidworks and or using the inbuilt CAD tool in the CFD package which is being used to perform the simulation. After the CAD model is finished it is saved with specific extension which can be feasible to read by the CFD tool. However, in most of the cases the CAD model is already prepared by the modelling team and submitted to the CFD team for the analysis in which case the geometry is directly imported onto the CFD tool. Also, there are cases when 2D analysis needs to performed prior to 3D simulation such as gear sloshing, or flow through a gate valve, where the 2D geometry is extracted from the 3D model using the inbuilt CAD tool.

                               Fig: 3D and 2D Models of Gears Box

The above fig represent the 3D and 2D model of a gearbox, the 2D model was extracted from the 3D model for performing a 2D gear simulation

Step 2. CAD Cleanup/repair/surface preparation

In the cleaning/repair and surface preparation stage, the CAD model is checked for various flaws such as interference, open edges and so on. Such errors result in defective mesh generation and impede the cfd simulation to run as these geometric flaws result in computational errors. So, the flawed wet surfaces are repaired accordingly in the in-built CAD tool to truncate any flaws. Post this the boundaries are defined by selecting the faces of the geometry and assigning specific names to those

Fig: Flaws in the Geometry of a SI8-PFI Engine

The above image shows an open edge in the geometry of a SI8-PFI engine highlighted after running diagnostics. The open edges were repaired to proceed further

 

Step 3. Meshing

In the meshing stage, a particular mesh size and type of mesh in selected for the case. Some of mesh types for 2D analysis include triangle and quadrilateral; for 3D analysis the mesh types are tetrahedron, pyramid, triangular prism, hexahedron and combinational. Apart from generic mesh generation advanced meshing options are also taken into consideration such as the local refinement, automatic/adaptive refinement, inflation layer and so on for capturing the physics of the flow more accurately. After providing the mesh settings, the mesh is generated and checked whether the mesh count is up to the mark or not for that particular case

Step 4. Setup the Physics

In this stage, the initial and boundary conditions are provided. After this, materials are assigned to the flow regime and the wet surfaces in case of general CFD or Fluid Structure Interaction (FSI) cases; for cases involving conjugate heat transfer, respective materials are assigned to the solid parts through which heat transfer takes place through various modes such conduction, convection and radiation. Apart from this the run parameters are defined i.e., whether the simulation is a steady or a transient case; in case of steady state the number of cycles till convergence is achieved are provided and in case of transient case the total time and time step is provided. In certain cases, monitoring probes are inserted into computational domain which captures parameters such as drag force, velocity, pressure, temperature and others at a specific location on the body or behind the body in the free space.

Step 5. Run the Case

The simulation is set to run in this stage and the probe data is monitored in certain cases. In the situations when the results blow out or the simulation fails, the settings are modified and again the simulation is set to run. Depending on the complexity of the case, the simulation time changes and volume of results generated during this stage changes accordingly. In certain CFD packages, the simulation is run through a CUI instead of the GUI. In such cases, the setup files are exported and using a command user interface, the CFD tool is used to run the case using the setup files. After the simulation run is over, the postprocessing is done

Step 6. Postprocessing

In the postprocessing stage, the results generated by running the simulation is analysed. These results include various parameters such as temperature, pressure, velocity and so on which are generated at each mesh during the simulation. These results are then visualized through various aids such as contours plots, graphs, meshing figures, 2D or 3D animation and so on to understand the flow pattern or behaviour of the flow across or inside the interacting surface.

Some of the post processing animation examples are given below

Example 1: Pressure and Temperature Shock Tube

Example 2: Rayleigh Taylor Instability Case: Mixing of Water and Air

 

 

2. Applications of CFD:

  1. Medical:
    1. Simulation of Cooling system used in medical imaging/diagnostics systems such as X-ray, CT-Scan, PET scan, MRI and so on
    2. FSI Simulation of artificial heart valves (aortic and mitral valve)
  2. Oil and Gas
    1. Simulation of oil water separator tanks (multiphase separator)
    2. Multiphase flow through pipes and pumping systems
  3. Construction
    1. CFD simulation of natural ventilation in large building structures
    2. Wind tunnel simulation for high rise buildings

Projects by Gaurav Samanta

Data Analysis
Gaurav Samanta · 2020-01-08 12:32:09

Objective: The objective of this project is to write a code for data analysis from an input file and perform the following operations 1. Compatibility Check: The program will ask for the file name with valid extension which if provided incorrect will terminate the prog Read more

Constraint Minimization
Gaurav Samanta · 2020-01-08 11:52:01

Objective: The objective of this project is to minimize a simple non-linear funtion using Lagrange Multiplier The target equation is: `f(x,y)=5-(x-2)^2-2(y-1)^2` & the constrain equation: `x+4y=3` Theory: In real engineering applications there is a Read more

Curve Fitting
Gaurav Samanta · 2019-12-27 19:42:51

Objective: The objective of this project is to perform a curve fitting between the temperature and Cp values given the data file   Theory:  Curve Fitting: it is a process of constructing a curve that best fits the provided data series. Curve fitting in gene Read more

Ice Breaking Challenge
Gaurav Samanta · 2019-12-27 19:01:57

Objective:  The objective of this project is to determine the minimum pressure required to break a given thickness of ice using an air cushion vehicle through Newton Raphson Method Equation: `p^3(1-beta^2)+(0.4hbeta^2-(sigmah^2)/r^2)p^2+((sigma^2h^4)/(3r^4))p-((s Read more

Objective: The objective of this report is to understand the CAD modeller features in Star CCM+ and use it to generate a 3D model of an Ahmed Body and a Convergent Divergent Nozzle in the same as per the drawing given below   Procedure & Results: Conv Read more

Air Standard Cycle
Gaurav Samanta · 2019-12-10 14:51:18

Objective: The objective of this report is to create a python based Otto Cycle simulator which can create the  PV diagram and give the thermal efficiency of the engine as output  Theory: Otto cycle is the set of processes used by the spark ignition Read more

2R Robotic Arm
Gaurav Samanta · 2019-12-10 14:33:33

 Objective: The objective of this report is to simulate the foward kinematics of a 2R robotic arm using python programming   Theory: Robotic arm manipulators are used in various industry verticals such as automotive, electronics, warehouses and logistic Read more

Solving 2nd order ODE
Gaurav Samanta · 2019-12-10 08:14:29

Objective: The objective of this report is the simulate the transient behaviour of a simple pendulum and the create the animation of its motion for a given time interval Theory: The following equation (Ordinary Differential Equation) for the position of the bob w. Read more

Flow over Bicycle
Gaurav Samanta · 2019-11-22 18:54:05

Objective:   The objective of this  study to understand the change in drag force with respect to velocity different cycling positions and drag coefficeint for constant frontal area and constant velocity.   Theory: Cyclists tend to experien Read more


Loading...

The End