CATIA Reverse Engineering

This course will show you how to use tools from the Digitized Shape Editor workbench and tools specific to Quick Surface Reconstruction and Realistic Shape Optimizer. Students will learn how scans and curves can be rapidly created on a mesh, and how surfaces can be quickly derived from the resulting curves.  Students will also learn how to use the Shape Sculptor application to add details or deformation to shapes.

Price
$1,700 / Student
Duration
4 Days
Level
Fundamentals
Prerequisites
CATIA V5 Fundamentals

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Topics Covered

  • Import and process scan and point cloud data
  • Create curves from scans
  • Create surfaces from scans
  • Create model and fillet model
  • How to use the Shape Sculptor application
  • How to import, analyze, enhance meshes
  • How to modify meshes by adding details or deforming shapes
  • Create tessellated mesh on point cloud data
  • Extract characteristic curves from the data
  • Export the result in popular file formats
  • Deform a surface using the displacement file output from Finite Element Analysis

 

Exercises

  • Plastic Bottle
  • Car Body
  • Toy Plastic Part
  • Washing Powder Bottle
  • Hairdryer: Import and Analysis
  • Master Exercise: Dashboard
  • Bootski: Selection and Mesh

Please Contact Us for more details about scheduling a class.

10-20% Discount on Live Remote Training Classes

Inceptra Live Remote Classes

 

10% discount – 1 student

20% discount – 2 or more students

 

Join an Inceptra virtual classroom taught by a live instructor from wherever you are. All you need is a computer with internet access to get training on Dassault Systèmes solutions.

Students can interact with instructors during class and instructors maintain visibility of each student’s progress during lab exercises.

Some restrictions apply:

  • Cannot be applied to existing Purchase Orders
  • Valid for public schedule classes only
  • Multi-student discount applies to students attending the same class
  • 10-20% discount offer ends December 31, 2020

 

Live Remote Learning

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