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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

Upon 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

Date / Time Duration Event Type Location Language Course Cost Registration
June 14, 2021
11:00 - 13:00 EST (GMT -5)
2 Sessions
Jun 14-15
Virtual Virtual - WebEx English Subscription Only Register
July 26, 2021
16:00 - 18:00 EST (GMT -5)
2 Sessions
Jul 26-27
Virtual Virtual - WebEx English Subscription Only Register
October 25, 2021
16:00 - 18:00 ET (GMT -5)
2 Sessions
Oct 25-26
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.

Virtual Classroom Session 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 definition

Virtual Classroom Session 2

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

  • 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