Send A Friend      Send To Me      Print 

---

Optimization, reliability and robustness evaluation with OptiSLang

Functionality

OptiSLang is one of the most efficient software tools for tasks regarding sensitivity

analysis, optimization, reliability evaluation and robustness evaluation.

The base for a successful solving of optimization tasks, the formulation of a suitable

objective function  and the selection of most sensitive optimization parameter can be

set up in design spaces of optimization or probability spaces of robustness evaluations via

sensitivity analysis in OptiSLang. Gradient-based methods (NLPQL), genetic algorithms,

evolution strategies (GA/ES) as well as adaptive response surface methods can be used

for optimization in optiSLang.

   Picture mls_approximation – moving least square approximation

For an optimal component construction, inevitable random scatters have to be considered

appropriately. In OptiSLang, variance or probability-based robustness evaluations of designs

can be done. A large range of statistical parameters (variation, correlation, determinations

and probabilities) is available for robustness analysis.

          picture mon sens – statistic postprocessing of a sensitivity analysis

OptiSlang offers efficient and easy-to-use algorithms for each work step of an engineering task

– sensitivity analysis, optimization  and robustness verification – as well as robust

design optimization  (an automatic combination of optimization and robustness evaluation).

 picture pareto 3d – Pareto set of a multicriterial optimization

Innovation

The key to success for parametric design optimization is the parameterisation

of the models  - the warranty an automatic creation and calculation of variants.

Regarding parametric model creation, ANSYS workbench offers excellent possibilities.

With the help of an ANSYS workbench plug-in, OptiSLang can directly recruit all parameters

from ANSYS workbench and thus opens new opportunities of parametric optimization.

The vision of an optimization of CAD parameters in a fully automatic CAE process became reality.

OptiSLang offers predefined, easy-to-use flows for process automating, optimization,

robustness evaluation  or robust design optimization. Now with the help of optiSLang, also

“non-specialists” can simply use optimization and stochastic analysis.