The technologies presented here enable the systematic variation of all relevant factors and therefore a comprehensive understanding of physical relationships is possible. The sensitivities determined speed optimizations and support Reliability, Design for Six Sigma and the comparison of simulation and testing.
Typical application scenarios is next to the product improvement and the determination of parameters for numerical models such material, friction or damping as well as cost-effective maps for nonlinear components.The universal application – for both simple and complex tasks – that quality algorithms and high efficiency (“no run too much” – strategy) make at the same time safe handling optiSLang inside ANSYS a valuable tool for design engineers.
optiSLang and ANSYS
The integrated, tailored to parameter studies workflow in ANSYS Workbench is a very good basis for design studies and optimisations with optiSLang. By integrating ANSYS Workbench optiSLang combines intuitive handling with powerful methods. To succeed in not only the fast start, but also a more extensive range of tasks with high parameter numbers, nonlinearities or multidisciplinary multi-objective optimization.
Parametric sensitivity analysis
Which factors are relevant? How strong is the correlation between parameters? What power range can cover my design?
Help Parametric sensitivity analysis, important to distinguish from unimportant parameters to understand the relationships between design variables and results and to define its target for a powerful and viable design. About an automated design of experiments (design of experiments, DoE) is achieved a good ratio of performance and accuracy for the implementation of the sensitivity study: The predictive power of the determined correlations is quantified (Coefficient of prognosis) and allows so, with a minimal number of analyzes to considered design space to capture with a defined accuracy. The result monitoring of reliability helps to assess a large number of parameters
Which design is best? How to treat competing goals?
Based on the relationships of the sensitivity analysis, the design can be optimized. This optimization takes into account simultaneously both more physical disciplines and multiple targets. For an electric motor which are for example the efficiency due to the magnetic field guide as well as the structural dynamic vibration due to the magnetic forces and the resulting sound pressure level. Available in optiSLang inside ANSYS optimization methods are automatically predefined reference to the task and can be easily overridden by the user via a traffic light system. They are suitable for special requirements as well as for classical optimization tasks.
How do variations have an impact on product performance? How secure my product will work under real conditions?
Variations in manufacturing processes, loads, material properties and geometries pull scatterings in the component behavior by itself. Numerical tolerance analyzes make it possible to check compliance of product characteristics in such situations. This well-established in terms of geometric properties technique is increasingly being used for physical properties. The simulation of virtual prototypes is an inexpensive way to examine the robustness of a design and to verify the safety of a product under real operating conditions.
Video tutorial – optimisation with optiSLang inside ANSYS Workbench
optiSLang RDO Journal – Ready for Digital Twin to bridge into Production 4.0 & Industrial Internet of Things
Find out how OptiSLang integrates with ANSYS by downloading the OptiSLang Inside ANSYS flyer
Read more about the OptiSLang for ANSYS capabilities by downloading the optiSLang for ANSYS Handout
More information of OptiSLang for LS-DYNA
optiSLang E-learning courses
Dynardo’s new e-learning program offers you a quick and efficient way to getting started with optiSLang.
If you have any questions regarding how our technology solutions could help your company, please contact us on +353-(0)16763765 (Ireland office) or +44 (0)844 212 5900 (UK office) .