Ansys Additive Suite

Built-in topology optimisation enables you to easily determine where material can be removed for effective lightweighting of components. Including lattice density optimisation, comprehensive capabilities allow you to:

• Take into account multiple static loads combined with optimizing for natural frequencies (modal analysis)
• Satisfy requirements for minimum material thickness
• Observe rules around feature direction (for machining operations for example)
• Have scope for both cyclic and planar symmetry
• Easily validate results

Fast and intuitive tools for geometry repair, lattice creation and cleanup of parts using the software’s faceted data tools.

Full nonlinear, including transient, and linear analysis capability to validate designs under a vast range scenarios. Both thermal and structural loading conditions can be applied to models to understand performance and durability.

• Offers insight into how parts will distort during a build.
• Provides visualization that allows users to evaluate how their assumptions of distortion and residual stress effect as-built parts, to enable the successful selection of part orientations and support strategies.
• Enables the visualization of the differences between the original, un-deformed geometry and the final deformed geometry, before and after removal from supports.
• Predicts stress trends, final residual stress and maximum stress locations throughout the build.
• Delivers graphical visualization of layer-by-layer stress accumulation and high-strain regions throughout the build.
• Utilizes the power of ANSYS Workbench to evaluate hundreds or thousands of criteria virtually.

Includes Ansys Additive Print as a fast and extremely easy-to-use stand-alone product for prediction of part shape, distortion and stresses, and for the automatic generation of optimal support structures and distortion-compensated STL files.

Includes Ansys Additive Science as a stand-alone application for design-stage investigation of materials and optimal machine parameters.