Simulation (ANSYS CFD)


Today with cutting edge technologies in almost every domain be it space, aero, auto or medical equipment's,the engineering verification and optimization have become testing challenges.

Even the existing products pose optimization challenges: propeller aircraft wing optimization or Labyrinth seal of a Gasturbine has led to hundreds of PhDs. Still scope for further research exists!!!

Increase in steep demand for power, speed, automation, Eco-friendliness, miniaturization, what not has added to the complexities. They are many fold: aerodynamics, compressibility, heat and mas transfer, multiphase flow, combustion, micro-cavity flows, acoustics, fluid structure interaction, hydrodynamics, Chemical reactions, electro-chemical phenomena and emerging fields like thermo and vibroaccoustics, mageto-hydrodynamics and others.

Therefore, simulation is the only way. Where 'n' number of experiments could be conducted with detailed fluid modelling, n number of BC -sets and n number of component or system architecture could be used. This is far economical compared to physical testing. Further it is impossible to carry out advanced optimization via physical testing. Physical testing today is used to test only a few critical product parameters using optimized manufactured geometry via simulation to satisfy the statutory requirements.

Benefits of the current course

  • Strong simulation culture.
  • Real-time significance of simulation.
  • Result benchmarking
  • Industry best practices in simulation.
Introduction to CFD modelling:
  • Introduction to numerical modelling and its role in the field of fluid flow and heat transfer
  • An underlying understanding of the theoretical basis of CFD
  • Numerical vs Analytical Vs Experimental Analysis
  • Introduction to CFD. What, when to use, and Why?
  • Principles of Conservation and scalar transport equation
  • Introduction to Ansys capabilities and CFD applications
  • Industrial relevance

This will develop an awareness of the power and limitations of CFD and help participants to understand the need of simulation. It will also help to understand the tool/steps required for their project.

Introduction to Design Modeler:
  • Pre-processing Workflow using ANSYS Workbench tools
  • Modelling 2D & 3D CAD model
  • How to share data to solve Multiphysics problem
  • Direct/feature based CAD modelling
  • Fluid Body Extraction for internal and External flow
  • Watertight Body Preparation from corrupted imported geometry
  • Concepts of modelling from meshing perspective
  • Modes of geometry creation (bottom-up and top-down)
  • Performing parametric analyses
  • Geometry Simplification & Repair for corrupted Geometry

This section covers some of the tools available within ANSYS DM to prepare the geometry. It will empathize more on geometry modification and decomposition from CFD perspective and clean-up process for ill geometry.

Introduction to Meshing:
  • Need of mesh and Its process
  • Meshing fundamentals (Efficiency, accuracy & quality)
  • Type of mesh/element (hex, Tet, prism, tri etc.)
  • Introduction to structured and unstructured meshes
  • Meshing Methods (Surface and Volume) and Algorithm
  • Meshing Controls (Global, local)
  • Conformal and non-conformal meshing
  • Issues to consider during mesh creation such as quality and cell type
  • Mesh quality and its impact on the Solution
  • Tools to improve the quality in Meshing
  • Best practices for mesh creation

This will help participant to choose appropriate mesh setting and control as per the geometry and physics using ANSYS Meshing tool as meshing plays a significant role to get converge results and to minimize errors.

Introduction to Solver:
  • Introduction to the CFD Methodology
  • Well-posed boundary conditions
  • Adoption of solver type based on physics for better convergence and accuracy
  • Concept of pressure velocity coupling
  • Introduction to Turbulence modelling and wall function
  • How to monitor and judge solution convergence
  • Various initialization scheme and its effect on solution and convergence
  • Various error type and best practices to minimize them

.This will help participant to understand the boundary condition, solver setting and models available in Fluent and the background theory which helps him/her to make the right choices in their project.

.Introduction to Post processor:
  • Result interpretation and post processing capabilities
  • How to perform flow field visualization using contours, vector, streamlines etc.
  • How to extract quantitative data (forces, Moments, etc.) from simulated CFD results
  • Write a report conveying the results of the computational analysis
  • Results validation

This will help participants to obtain precise quantitative and/or qualitative information about fluid flow performance of the system. The post processing options allow control of the look-and-feel of the physics. User will also learn to present results in appropriate manner and validation with existing results.

  • The objective of this course is to create confidence to solve complex problems in the field of fluid flow and heat transfer using ANSYS Fluent.
  • To accomplish this objective, the course will present the theory in combination with substantial hands-on practice using ANSYS.
  • Tutorials are designed to investigate problem areas in greater depth to ensure that even new user understand the application and can avoid making mistake.
  • Lectures in the course are designed to cover the terminology and core concepts and theories in CFD.
  • The examples are taken from industry and some classical academic problem to show how the theory is applied in practice.
  • 25 workshops and 15 assignments will be given to the trainee, to create a strong foundation in learning the simulation tool to solve engineering problems.