Yo ho! Happy holidays!
If you had asked for an upgrade to the leading nonlinear multiscale material and structure modeling platform on your wish list this holiday season, then we have some good news for you! Because e-Xstream engineering, an MSC Software Company, and developer of Digimat, have announced the release of Digimat 2018.0.
Digimat is a state-of-the-art plastics and composites modeling platform, and the latest release includes a whole bunch of new features aimed at making your manufacturing simulation workflows a lot easier.
And with this update, we will see greater capability for the simulation of additive manufactured plastics as well as process and structural simulation of fiber-reinforced plastics.
The latest release, Digimat 2018.0, has the following updates:
- Material engineering: virtual characterization of lattice structures in Digimat-FE
- Process simulation: enhanced physics in Digimat-AM to predict build failure and ensure tight control of tolerances
- Part performance: standard as-manufactured structural analysis workflow in Digimat-RP for confident part design
This release also highlights the partnership of Stratasys with e-Xstream. It is now possible to perform virtual printing and structural analysis of ULTEM 9085 components printed with Fortus 900mc through Digimat-AM and DigimatRP solutions.
We have discussed the partnership between e-Xstream and Stratasys before in a previous article just a few weeks ago, so it’s pretty cool to see the results of this collaboration manifesting so quickly. This addition will offer simulation software to support the “print right the first time” philosophy for Fortus 3D printer users, which will be of particular benefit to aerospace engineers working with the ULTEM 9085 thermoplastic filament.
In terms of fiber-reinforced plastics, the latest release will permit simulation of short and long fiber-reinforced plastic applications, thanks to a new failure model based on polymer sensitivity to stress triaxiality. Furthermore, damage of such structures can now be modeled more precisely through a controllable damage law for precise energy dissipation predictions in highly dynamic and nonlinear environments such as crash simulation.