Webinar: optiSLang and ANSYS Maxwell
Only the parameterization of an FE model and the efficient scanning of the design space enable leveraging the full potential of electromagnetic simulations in Maxwell. This webinar will demonstrate an exemplary sequence of steps of analyzing the data, understanding the physics, and pursuing optimization goals using a 2D motor model implemented in Maxwell and coupled to optiSLang.
Employing simulations one generally aims at problem understanding and the utilization of gained knowledge for target-oriented design optimization. Various optimization goals, such as energy efficiency, vibration damping, resonance control, field quantities and topology, cannot be treated independently. At the same time, production and application conditions such as tolerances or failure-determining random processes affect the performance of the design.
optiSLang allows a targeted and methodical approach taking into account constraints and existing computing resources. Statistics-based assessments of non-linear system interactions expand the physical understanding of processes in virtual product development.
1. Overview of optiSLang's graphical user interface
2. Analysis of a transient 2D simulation of a commutated electric motor
- Representation of the simulation in the optiSLang GUI
- Sensitivity study – examining indicators of energy efficiency, torque, and torque ripples
- Metamodels as a tool for analyzing non-linear interactions
- Identification of goal conflicts and design tradeoffs
- Optimization – dealing with conflicting goals, defining a scalar objective function, combining global and local optimizations
3. Process integration
- Alternatives: direct coupling or via ANSYS Workbench
- Real-valued responses and signals
- Ways of parallelizing the computations
Dipl.-Phys. Markus Stokmaier
Sep 20, 2016
Please register not later than 1 day prior to the event date.
9-10 am and 4-5 pm (local time-Berlin)
free of charge