Introduction to Ansys LS-TaSC

Course Overview

This class provides an introduction to using the topology optimization and shape computation code, LS-TaSC, for design. It covers both the theoretical concepts and practical aspects of topology optimization. The course includes workshop sessions in which the theoretical topics are applied. The LS-TaSC graphical user interface is used to teach input preparation and post-processing.

 

Prerequisites

  • Equiv­a­lent knowl­edge to an in­tro­duc­to­ry class in LS-DY­NA is rec­om­mend­ed.

Target Audience:

CAE Engineers, Mechanical Engineers including Automotive Engineers, Aerospace Engineers, and other subdisciplines, Mechanical Design Engineers, Students, and academic researchers.

Teaching Method:

Lectures and computer practical sessions to validate acquired knowledge.

Learning Path

Currently, no Learning Path available

Learning Outcome

Following the completion of this course, you will be able to:

  • Use LS-TaSC to determine optimal material distribution in a structure.
  • Setup and solve nonlinear topology optimization problems using LS-DYNA.
  • Apply topology optimization concepts to constrained, multi-load case, and multidisciplinary problems.
  • Optimize a surface to minimize stress concentration.

Available Dates

Time Duration Event Type Location Language Course Cost Registration
March 22, 2021
13:00 - 15:00 EST (GMT -5)
2 Sessions
Mar 22-23
Virtual Virtual - WebEx English Subscription Only Register
June 14, 2021
11:00 - 13:00 EST (GMT -5)
2 Sessions
Jun 14-15
Virtual Virtual - WebEx English Subscription Only Register

Learning Options

Training materials for this course are available with a Ansys Learning Hub Subscription. If there is no active public schedule available, private training can be arranged. Please contact us.

Agenda

This is a 1-day classroom course covering both lectures and workshops. For virtual training, this course is covered over 2 x 2-hour sessions lectures only.

  • Topology Optimization in LS-TaSC
  • Goal, user interface, and model setup
  • Basic topology optimization algorithm in LS-TaSC
  • Material interpolation schemes and solid/void strategy.
  • Design sensitivity filtering and neighbour radius.
  • Optimization algorithm and convergence criteria
  • Geometry and Manufacturing definitions
  • Post-processing
  • Constrained optimization using control theory and multi-point method
  • Multi-load case optimization and weighting
  • Multidisciplinary topology optimization using static, dynamic, and NVH design.
  • Shape optimization using node-based surface design feature.

Virtual Classroom Session 1 / Live Classroom Day 1

  • Module 1 – Topology Optimization in LS-TaSCGoal, theory, and methods
  • Geometric and manufacturing definitions
  • Postprocessing
  • Workshop 1.1 – Setting up a simple example at given target mass fraction
  • Workshop 1.2 – Topology optimization with geometric definitions
     

Virtual Classroom Session 2 / Live Classroom Day 1

  • Module 2 – Advanced topics
  • Constrained optimization
  • Multi-load case optimization and weighting
  • Multidisciplinary optimization
  • Shape optimization
  • Workshop 2 – Constrained optimization example