Instructions for post-processing workflows are automatically generated from the digital model, reducing planning and programming time.
Single- and Multi-Step
Data is captured and analyzed at each step of post-processing, optimizing control of subsequent manual and automated processes—and continually improving processes over time through machine learning.
Design intent, such as surface finish and accuracy, is extracted from geometric dimensioning and tolerancing (GD&T) data and referenced in all subsequent post-processing operations.
Design for Post-Processing
Design additions to accommodate post-processing needs, such as grippers and tooling, are automatically recommended and generated early in the process.
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