Available as of February 2nd, 2017
ANSYS SpaceClaim 2017 is full of enhancements that further integrate ease of use and rapid geometry creation and manipulation capabilities. From large changes to behind the scenes enhancements, you’ll notice improvements that speed workflows in design, reverse engineering, manufacturing, 3-D printing and simulation.
See below for more details on the release. If you're not a current SpaceClaim users, be sure to request a complimentary trial copy to experience the time savings for yourself!
As topology optimization and 3-D printing continue to grow, ANSYS leads the way with faceted data optimization and smoothing enhancements. You can greatly simplify and smooth topology optimized STL data for downstream printing, while preserving the integrity of localized regions. The Infilling functionality has greatly expanded to include several lattice infill types, all with custom options to ensure your 3-D printed component has an ideal strength-to-weight relationship.
General Modeling Enhancements
This enhancement will unfold faces of complex curvature. It will add rips to areas of higher distortion or stretching. This is particularly useful for material estimation of flat patterns, nesting, modeling surface skins, or the general unfolding of complex sheet metal bodies.
Visualize designs from the inside out.
Since visualization is a key feature in the SpaceClaim environment, this release adds a new fly-through capability. You can explore inner details of a model without hiding components or using cross sections. This capability provides graphical feedback at your fingertips while making it even more enjoyable to work in a 3-D environment.
SpaceClaim has geometry scripting capabilities that further break down barriers associated with 3-D model editing challenges. One enhancement in the scripting environment is the expansion of available commands to use in the macro-like recording feature. You can now perform a wider array of edits on model, and SpaceClaim will record the necessary script. The data captured is in the Python language, so you need not be proficient in scripting code or programming.