June 1-3, 2015 in Dolní Morava, Czech Republic

Conference for numerical simulation

Jun 6-8, 2016 in Würzburg

Conference for technical aspects in the design and use of modern connectors

Jun 7-8, 2016 in Munich

Computer-aided engineering conference in the automotive industry.

Jun 12-15, 2016 in Linz

Challenges in Forming High-Strength Sheets

Jun 6, 2016 in Winterthur

Conference for numerical simulation


Library RDO Journal Weimar Optimization and Stochastic Days Newsletter Quarter 2_2016 Dynardo...

Dynardo GmbH is proud to announce that Dynardo’s optiSLang, leading edge software for CAE-based...

Release note optiSLang 5.0.0 more information about optiSLang 5 more information about optiSLang...



Jun 6-8, 2016 in Weimar

Jun 9 in Vienna
Aug 10, 2016 in Lein.-Echt.
Sep 7, 2016 in Renens
Nov 16, 2016 in Berlin
Nov 22, 2016 in Aadorf

Jun 22 in Hanover
Sep 30, 2016 in Lein.-Echt.
Dec 9, 2016 in Grafing

Aug 12, 2016 in Lein.-Echt.
Nov 18, 2016 in Berlin
Nov 24, 2016 in Aadorf

Webinar: Introduction to Parametric Optimization and Robustness Evaluation
with optiSLang

This webinar will provide you with an introduction to the possibilities of optiSLang regarding a sensitivity analysis, optimization and robustness evaluation of processes and systems. You will get an overview of conducting a parametric analysis and the result evaluation. In this context, methods will be explained how a simulation model can be integrated and analyzed in optiSLang.

During a parametric optimization, simulation models are modified based on the defined parameters until a predetermined optimization goal is achieved. In this variant study, constraints often have to be considered. By means of a sensitivity analysis, you are able to identify the key variables and their optimization potential. With the help of a robustness analysis, you have the opportunity to quantify uncertainties and derive appropriate measures.


Optimization with Robustness Evaluation of a tuning fork
Optimization with Robustness Evaluation of a tuning fork
optiSLang inside ANSYS Workbench
optiSLang inside ANSYS Workbench

1. Process Integration

  • Implementation of a simulation model into optiSLang within ANSYS Workbench
  • Integration of text-based input and output files to be executed with ANSYS APDL
  • Other integration options such as Excel, Matlab, Abaqus and SimulationX

2. Sensitivity Analysis

  • Definition of parameter ranges of the optimization variables
  • Analysis of the design space with design of experiments
  • Assessment of the correlation between optimization and response variables
  • Evaluation of the potential for optimization and adherence to the constraints

3. Parametric Optimization

  • Definition of optimization objectives and constraints
  • Fast pre-optimization using surrogate models from the sensitivity analysis
  • Final optimization using direct model calculations

4. Robustness Evaluation

  • Definition of scattering input variables
  • Robustness evaluation of the optimal design
  • Conducting a stochastic analysis
  • Evaluation of robustness as well as the influence of scattering variables


Dr.-Ing. Veit Bayer

to be announced
Please register not later than 1 day prior to the event date.


9-10 am and 4-5 pm (local time-Berlin)

no fee