At the beginning of the year, the software developer CoreTechnologie is hosting a German-language webinar that focuses specifically on the quality of CAD data. Under the title “When CAD data slows you down: Automatically repairing poor geometries and making them usable,” the online event will take place on February 3, 2026, and addresses typical hurdles in simulation, CAM, and especially in 3D printing.
In additive manufacturing, workflows often fail as early as the geometry import stage. The cause is faulty or extremely complex models that contain gaps, self-intersections, or degenerate surfaces. Such defects lead to aborted slicing processes, faulty simulations, or unstable toolpaths. Especially with STL and CAD data from heterogeneous sources, the problem is exacerbated because data formats and modeling approaches vary, making manual correction time-consuming.
In the webinar, CT expert Van Phuc Tran explains how these weaknesses can be identified and resolved automatically. Using practical scenarios, he demonstrates how analysis algorithms detect geometric inconsistencies and how repair mechanisms stabilize models for downstream processes. The focus is on scalable approaches that ensure reproducible data quality even for very large assemblies or finely resolved meshes. According to Tran, this can significantly reduce manual rework and make 3D printing process chains more reliable.
The event is aimed at technically proficient users from design, manufacturing, and simulation who regularly work with problematic CAD data. The webinar starts on February 3, 2026, at 10:00 a.m. and is free of charge. After registering, participants will receive an access link to the online training.
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