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Ansys optiSLang Product Quality -  Robust Design Optimization (Self-paced Learning Available)

Course Overview

The course introduces robustness and reliability assessments by probabilistic methods and the relation to sigma level or design for six sigma approaches. The application of robustness and reliability assessments will be demonstrated by using an application example of an optimized design. 
 
Virtual product development is conducted using deterministic parameters, hence under idealized conditions. Particularly in the context of product optimization, the product performance under random influences (tolerances, external influences) must be warranted. 
 
For a robustness or reliability analysis, input parameters are modelled as random variables. The result of a robustness assessment is a prognosis of the variation of the product performance. Moreover, a root cause analysis is possible by identifying the most relevant inputs influencing the scatter of the system response.

Strategies for finding optimal yet robust designs are discussed. 
 
For the proof of safety requirements, optiSLang offers methods of reliability analysis, which compute the rare event of violating a –possibly non-linear– limit state.

Prerequisites

  • Basic knowledge about statistics
  • Skills to conduct process integration and optimization in optiSLang
  • Required prerequisites can be obtained by attending "Ansys optiSLang Getting Started".

Teaching Method

Lectures and computer practical sessions to validate acquired knowledge.

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Learning Pathway

Learning Outcome

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

  • Understand the concepts of robustness evaluation
  • Conduct a variance-based robustness evaluation
  • Conduct a Robust Design Optimization (RDO)
  • Understand basics of probability-based robustness evaluation

Available Dates

Currently, no training dates available

Learning Options

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

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. 

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 / Live Classroom Day 1

Basic theoretical background, concepts of robustness evaluation and Robust Design Optimization

  • Lecture: Overview, theory, variance-based robustness evaluation
  • Demonstration: variance-based robustness evaluation of optimized oscillator example
  • Lecture: strategies of Robust Design Optimization (RDO)
  • Workshop: RDO of oscillator example

Virtual Classroom Session 2 / Live Classroom Day 1

Robust design optimization cont’d, Introduction to reliability analysis

  • Demonstration/Workshop: Discussion of RDO results
  • Introduction to reliability analysis
  • Advanced algorithms of reliability analysis
  • Demonstration: Setup of reliability analysis
  • Workshop: Reliability analysis as proof of RDO of oscillator example