Ansys optiSLang Getting Started - (Available as Self-paced Learning)

Overview

The Getting Started course offers you an introduction to the practical application of CAE-based sensitivity analysis, multidisciplinary optimization and robustness evaluation with optiSLang.

During the training you will be informed about the possibilities of process integration and variation analysis. By means of illustrative examples, sensitivity analyses and different optimization steps as well as their results will be explained and evaluated. Here, the focus is on the user-friendly application and operation of the software.

Learning Outcome

Module 1: Graphical user interface and process integration

  • Introduction to Ansys optiSLang and the graphical user interface
  • Automate manual simulation steps to conduct parametric variation analyses

Module 2: Sensitivity analysis

  • Sensitivity analysis that helps you to understand your numerical task
  • Investigate parameter sensitivities, reduce complexity, and generate best possible meta models
  • Analysis of experimental data

Module 3: Single- and multi-objective optimization

  • Introduction to optimization goals and constraints
  • Response surfaces based and direct optimization
  • Single- and multi-objective optimization

Prerequisites

  • A technical education is recommended and a background in design optimization is not required.
  • This course is designed for users who have little to no experience with Ansys optiSLang. 

Target Audience: Engineers and Designers who want to drive a variation analyses to their CAE processes.

Teaching Method: Lectures and computer practical sessions to validate acquired knowledge. A major emphasis is placed on teaching by software demonstration and on the development of a solution to a design challenge from start to finish. 

Self-paced Learning: Complete a class on your own schedule at your own pace. Scope is equivalent to Instructor led classes. Includes video lecture, workshops and input files. All our Self-Paced video courses are only available with an Ansys Learning Hub subscription. Register for a subscription using the tab below or contact training@ansys.com for more information.

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.

Ansys optiSLang Getting Started

Agenda SUBSCRIBE TODAY  

Topics Covered :

 

Agenda :

This is a 1-day classroom course covering both lectures and workshops. For virtual training, this course is covered over 3 x 2-hour sessions lectures only.

Virtual Classroom Session 1 / Live Classroom Day 1

Process integration and Graphical User Interface as the first steps towards a parameter study

  • Lecture: Purpose of a Parameter study and kinds of Parameters
  • Demonstration: Process integration within ANSYS Workbench and via text interface
  • Workshop: Setup of a Parametric System for an Analytical Nonlinear Function

Virtual Classroom Session 2 / Live Classroom Day 1

Sensitivity Analysis

  • Lecture: Design of Experiments
  • Lecture: Metamodel of optimal Prognosis
  • Demonstration: Usage of the Sensitivity Wizard
  • Lecture/ Demonstration: interpretation of a sensitivity analysis
  • Workshop: Sensitivity of an Analytical Nonlinear Function

Virtual Classroom Session 3 / Live Classroom Day 1

Optimization studies

  • Lecture: Optimization algorithms and Deterministic vs. Robust Optimum
  • Lecture: Single Objective Optimization
  • Demonstration: Usage of the Sensitivity Wizard
  • Lecture/ Demonstration: interpretation of a sensitivity analysis
  • Workshop: Single Objective Optimization of a Damped Oscillator
  • Workshop follows all steps: Process integration, Sensitivity study and optimization
  • Lecture: Introduction into multi objective optimization
Filter By Country :
Date/Time Duration Event Type Location Language Class Cost
December 8, 2020
09:00 - 11:00   CET (GMT +1)
December 8, 2020 3 Sessions
Dec 8-10
Virtual Virtual - WebEx English Subscription Only Register  ›

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