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CADFEM ANSYS Extension for more design understanding through variational and sensitivity analysis

Understand and Optimize Your Design!

optiSLang is the powerful software that enables its users to improve the design of the product by conducting sensitivity analysis, multiobjective and multidisciplinary optimization, robustness evaluation, reliability analysis and Robust Design Optimization.

In addition to improving the design of the product, typical application scenarios include the parameters identification and model calibration for parameters such as material properties, friction or damping as well as cost-effective characteristic fields for non-linear components. optiSLang is good for both, simple and challenging tasks, it uses the high - quality algorithms and gives high efficiency ("running just enough" strategy) while at the same time safe handling make optiSLang a valuable tool for development engineers.

Technical Information

  • PC-System from Windows XP SP2
    (32-and 64-Bit-Systems)
  • ANSYS Workbench from Version 13

optiSLang and ANSYS


The comprehensive workflow in ANSYS Workbench with powerful parametric modeling capabilities, is a very good basis for optimization studies with optiSLang. Integrated into ANSYS Workbench, optiSLang combines an intuitive handling with powerful methods. This is not only a the quick start to optimization within ANSYS Workbench, but also a broader task spectrum with high parameter numbers, non-linearities or multidisciplinary multi-target optimization.


Important note: The products optiSLang inside ANSYS and / or optiSLang for ANSYS now belong to the product portfolio of ANSYS and are now marketed under the name "ANSYS optiSLang".

Parametric Sensitivity Analysis


Which influencing variables are relevant? How strong is the correlation between parameters? What is the scope of my design?

Parametric sensitivity analyzes help to distinguish important from unimportant parameters, to understand the relationships between design variables and results, and to define the target corridor for a powerful and realizable design. An automated statistical design experiment (Design of Experiments, DoE) achieves a good relationship between performance and accuracy for the sensitivity study: the predictive quality of the correlations is quantified (Coefficient of Prognosis) and thus allows the use of a minimal number of analyzes Considered space with defined accuracy. The results representation in optiSLang helps to evaluate a large number of parameters.


Multidisciplinary Optimization


Which design is the best? How to deal with competing goals?

The design can be optimized based on the relationships of the sensitivity analysis. This optimization simultaneously takes into account several physical disciplines as well as several targets. For an electric motor, this is, for example, the efficiency due to the magnetic field guidance as well as the structural dynamic vibrations due to the magnetic forces and the resulting sound pressure level. The optimization methods available in ANSYS optiSLang are automatically predefined according to the task position and can easily be exceeded by the user via a traffic light system. They are suitable for special requirements as well as for classic optimization tasks.


Tolerance Analysis


How are scattering effects on product behavior? How secure will my product work in real use?

Scattering in manufacturing processes, stresses, geometries and material properties result in scattering in the component behavior. Numerical tolerance analyzes make it possible to check compliance with product characteristics even in such situations. This technique, established with respect to geometric properties, is increasingly used for physical properties. The simulation of virtual prototypes is a cost-effective way to examine the robustness of a design and to verify the safety of a product under real operating conditions.