Impression Additive Ansys | Prédire le Stress et la Distorsion

• Distortion prediction provides visual insight into how parts will distort during a build. Evaluate your assumptions and enable the successful selection of part orientations and support strategies with Additive Print’s distortion capabilities.
• Heat treatment and accompanied processing, like quenching, are critical during high strength steel casting production. These procedures must be managed closely to prevent thermal and residual stresses that may result in distortion, cracking (particularly after machining), re-work, and any weld repair.
• The risk of casting malconformation impedes aggressive quenching that can be beneficial to the process and yield an improved outcome for your business. As a result, adjustments must be made to the casting or pattern design, and this is precisely where our software becomes a game-changer.

• Distortion prediction provides visual insight into how parts will distort during a build. Evaluate your assumptions and enable the successful selection of part orientations and support strategies with Additive Print’s distortion capabilities.
• A finite element model (FEM) background simulation calculates strain and residual stress from temperature field.
• Quality of residual stress and distortion modeling accounts for various/custom temperature fields.
• Flow of molten metal is considered to accurately calculate transient temperatures.
• Roles of variables and alloys on stresses and strains automatically compensated.

• Build parts in a single iteration with automatic generation of distortion-compensated STL files.
• The intrinsic strain method is an effective scheme in terms of speed and accuracy for metallic additive manufacturing (AM) process simulation, addressing deformation prediction, re-coater device contact prediction, support or part structure failure, etc.
• In addition, Ansys has recently developed the distortion compensation functionality that seek for the ideal AM geometry from target CAD geometry taking into account deformation generated by AM processes such as general build, un-clamping base plate, cutting from base plate, variable heat treatment, support removal, etc.

Additive Print empowers users to predict thermal strain, anisotropic effects and calculate strain patterns.

• Curated Material Property Databases
• Grain Morphology Predictions
• Melt Pool and Porosity Prediction
  • Supervised learning provisions automatically applied to dichotomize the melt pools.
  • Real-time monitoring toolkit embedment to detect anomalies in the microstructure.
  • Morphological models and base metrics of analogous melt pools are compared.

• Additive Print enables you to auto generate supports, helping you predict maximum residual stresses that supports must withstand.
• Supports are generated using an algorithm that varies the support density for carrying maximum residual stresses.
• Users are also provided with resulting support structure in an STL file format.