Conventional FEM simulation provides specific information for given geometry, material and load configurations. In practise however, most parameters are variable. There are different geometry or material models, diverse load conditions and scatter. These factors must be represented in simulation so that we can understand and improve products and production processes.
During our Information Day, we will demonstrate how optiSLang inside Workbench is used for problems in structural and computational fluid mechanics as well as in electromechanics.
We will show you how to analyse a design space systematically, perform an optimisation with conflicting goals and how to secure a function when scattering influences occur.
In addition time-saving technologies and simultaneous solutions, which take into account aligned hardware and software configurations, will be introduced. Moreover, we will highlight approaches for the processing and organisation of the results.
The presentations and discussions will be conducted by our partner CADFEM Germany, the FEM Competence Centre for Germany, Switzerland, Austria.
Derek Sweeney, MD of CADFEM Ireland, along with other CADFEM Ireland staff and representatives from ANSYS, will be in attendance to discuss your applications and requirements with you.
If you would like to attend, please book your place now (go to the Next Courses page in the Training Section and tick Register).
Alternatively, please email Barbara at email@example.com.
Attendance is free of charge, but places are limited so please register early.
|There are no upcoming events!|
Reception and introduction of CADFEM Ireland, CADFEM Germany and ANSYS
Motivation for parametric studies
– Understand alternative designs
– Improve conflicting product properties systematically
– Assess scattering
– Adjust simulation and experiment
– Characterise components for system examinations
Parametric Workflow in ANSYS
Systematic variations with optiSLang inside Workbench
– Sensitivity studies
– Tolerance analysis
– How do I assess 1000 design alternatives ?
– Accuracy and numerical noise
– Robust parameter constellation
How to accomplish comprehensive design variations efficiently
– Hardware & software configuration
– From data to knowledge
Conclusions – questions and discussion
Please contact us if you have specific questions on the program.