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RBF Morph (Mesh Morphing) Training Course, ANSYS Fluent

$500.00 Student Discount

  • Introduction and overview of the design optimization
  • Introducing two different methods of design optimization in software, similarities, and differences
  • Introducing three successive steps of simulation to achieve shape optimization
  • Introduction to the adjoint solver, including its inputs, governing equations, and observable definition
  • Introduction of different mesh morphing methods
  • Minimizing Drag Force
  • Maximizing Lift to Drag Ratio
  • Minimizing Pressure Drop

Click on Add To Cart and obtain the Geometry file, Mesh file, and a Comprehensive ANSYS Fluent Training Video.

To Order Your Project or benefit from a CFD consultation, contact our experts via email ([email protected]), online support tab, or WhatsApp at +1 (903) 231-3943.

There are some Free Products to check our service quality.

Minimizing Pressure Drop by Adjoint Solver (RBF), ANSYS Fluent CFD Simulation Training

  • The problem numerically simulates the pressure drop in a tube with a U-shaped bend using ANSYS Fluent software.
  • We design the 2-D model by the Design Modeler software and then mesh it with ANSYS Meshing software.
  • The mesh type is Structured, and the element number equals 26400.
  • We aim to Minimize the pressure drop in a three-step simulation.
  • We use the Adjoint Solver to analyze the Shape Sensitivity.
  • The Design Optimization is performed with the Gradient-based Optimizer.
  • We use the Radial Basis Function (RBF) to apply Mesh Morphing.

If you need the Geometry designing and Mesh generation training video for one product, you can choose this option.

If you need expert consultation through the training video, this option gives you 1-hour technical support.

Maximizing Lift to Drag Ratio by Adjoint Solver (RBF), ANSYS Fluent CFD Simulation Tutorial

  • The problem numerically simulates lift to drag ratio on an airfoil using ANSYS Fluent software.
  • We design the 2-D model by the Design Modeler software.
  • We mesh the model with ANSYS Meshing software, and the element number equals 207521.
  • We aim to Maximize the lift to drag ratio in a three-step simulation.
  • We use the Adjoint Solver to analyze the Shape Sensitivity.
  • The Design Optimization is performed with the Gradient-based Optimizer.
  • We use the Radial Basis Function (RBF) to apply Mesh Morphing.

If you need the Geometry designing and Mesh generation training video for one product, you can choose this option.

If you need expert consultation through the training video, this option gives you 1-hour technical support.

Minimizing Drag Force by Adjoint Solver (RBF), ANSYS Fluent CFD Simulation Training

  • The problem numerically simulates the drag force on a simple cylindrical obstacle using ANSYS Fluent software.
  • We design the 2-D model by the Design Modeler software and then mesh it with ANSYS Meshing software.
  • The mesh type is Structured, and the element number equals 36000.
  • We aim to Minimize the drag force in a three-step simulation.
  • We use the Adjoint Solver to analyze the Shape Sensitivity.
  • The Design Optimization is performed with the Gradient-based Optimizer.
  • We use the Radial Basis Function (RBF) to apply Mesh Morphing.

If you need the Geometry designing and Mesh generation training video for one product, you can choose this option.

If you need expert consultation through the training video, this option gives you 1-hour technical support.

RBF Morph (Mesh Morphing) Concepts, ANSYS Fluent

  • Introduction and overview of the design optimization
  • Introducing two different methods of design optimization in software, similarities, and differences
  • Introducing three successive steps of simulation to achieve shape optimization
  • Introduction to the adjoint solver, including its inputs, governing equations, and observable definition
  • Introduction of different mesh morphing methods
  • Introduction and overview of the design tab of Fluent software
  • Post-processing of adjoint solution, specifically sensitivity analysis

If you need the Geometry designing and Mesh generation training video for one product, you can choose this option.

If you need expert consultation through the training video, this option gives you 1-hour technical support.

If you need the Geometry designing and Mesh generation training video for one product, you can choose this option.

If you need expert consultation through the training video, this option gives you 1-hour technical support.

Description

RBF Morph Training Course

RBF Morph Training Course  will teach you how to optimize the design using the CFD method and the Ansys Fluent software. You will get acquainted with the software’s step-by-step process of shape optimization.

First, you will learn how to define your target parameter to enhance system performance. You will then be taught how to obtain shape-sensitivity data. Sensitivity analysis helps you identify the boundaries of the model whose displacement and deformation affect your target parameter. Finally, you will learn how the software changes the model’s design with the mesh morphing method to reach the optimal state.

This course focuses on the basic radial function (RBF) method for mesh morphing. This method is used to change the interior and boundary mesh.

We have made this training course very detailed and very applicable. After completing this course, you can analyze design optimization and perform some simulation projects.

RBF Morph Training Course Syllabus

This course contains video lessons and final projects to get a certificate after finishing the course.

This course is divided into4 main lessons and some sub-lessons. You strongly recommend that you do not skip any of the sections even if you feel you know the content.

Lesson 1.

In this lesson, you will first see a general introduction to design optimization and an overview of available simulation techniques and models in ANSYS Fluent. This section contains the following subsections:

  • Introduction and overview of the design optimization
  • Introducing two different methods of design optimization in software, similarities, and differences
  • Introducing three successive steps of simulation to achieve shape optimization, including:
    • Conventional flow solution
    • Adjoint solution
    • Gradient-based optimization solution
  • Introduction to the adjoint solver, including its inputs, governing equations, and observable definition
  • Introduction of different mesh morphing methods, including:
    • Direct interpolation
    • Polynomial
    • Radial basis function (RBF)

Also, you will get to know the design tab environment in Ansys Fluent software. There are many steps related to the design optimization process in the software. You will learn all the steps in detail. This section contains the following subsections:

  • Introduction and overview of the design tab of Fluent software
    • Gradient-based section
    • All different types of observable and operation
    • Design tool
    • Morphing methods
    • Target changes in the objective tab
    • Design conditions and all types of the constraints
    • Gradient-based optimizer
  • Post-processing of adjoint solution, specifically sensitivity analysis

Lesson 2

In this lesson, We present a simple, practical example for you. The problem related to the flow around a two-dimensional cylinder is simple. We aim to reduce the horizontal force (drag force) applied to the cylinder body. That is, we want to change the geometry to minimize the drag force.

Lesson 3

In this lesson, We have provided a more realistic and practical example. Performance analysis of airfoils in aerodynamics is very popular among designers and engineers. In this problem, we targeted a ratio of two parameters. We want to maximize the lift-to-drag force. The airfoil will perform best if we increase the lift force and decrease the drag force.

Lesson 4

In this lesson, we have presented a different example from the previous two examples. This time we are focusing on pressure drop instead of forces. Pressure drop is a negative phenomenon for pipelines. Therefore, finding ways to reduce it is popular among designers. So, in this problem, we have modeled a pipe with a U-shaped bend to minimize the fluid pressure drop inside it.

 

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