- 28th July 2020
4:00 pm - 5:00 pm
Date: 28 July 2020
Time: 11 AM (EDT) / 4 PM (BST)
Venue: Online
In Ansys 2020 R2, Ansys Mechanical offers enhanced intelligent and advanced nonlinear structural solvers, improved workflows and more:
- Parameter-free morphing-based optimisation complements the Ansys topology and lattice optimistion suite. Users will also see performance enhancements of up to 50% in some cases, due to more efficient handling of results files between solution iterations.
- Mechanical streamlines the simulation of welded structures, e.g., automotive chassis frames. Enhancements to meshing and geometry enable optimisation workflows and drive more durable and better performing designs.
- Simulation of electronics systems is made easier thanks to tighter integration with Ansys Sherlock and Ansys Icepak. ECAD files can also be directly imported into Mechanical, allowing users to choose the fidelity of the model representation.
Registration / Further Information
Simply choose one of the following options to receive further information or to register.
- Complete the form opposite
- Call us on +44 (0)161 474 6886
- Email us at events@WildeAnalysis.co.uk
Please note that this event is free to attend but registration is essential.
In Ansys 2020 R2, Ansys Mechanical offers enhanced intelligent and advanced nonlinear structural solvers, improved workflows and more:
- Parameter-free morphing-based optimisation complements the Ansys topology and lattice optimistion suite. Users will also see performance enhancements of up to 50% in some cases, due to more efficient handling of results files between solution iterations.
- Mechanical streamlines the simulation of welded structures, e.g., automotive chassis frames. Enhancements to meshing and geometry enable optimisation workflows and drive more durable and better performing designs.
- Simulation of electronics systems is made easier thanks to tighter integration with Ansys Sherlock and Ansys Icepak. ECAD files can also be directly imported into Mechanical, allowing users to choose the fidelity of the model representation.