AI-supported material test automation

Material testing is expensive and time-consuming. Engineers constantly face incomplete databases and missing test data for the specific materials they need, while valuable test results often exist but remain buried in difficult-to-access systems, scattered across suppliers or locked in PDFs.

Simcenter™ Material Data Center solves this by using AI and machine learning to predict material performance based on analysis of similar materials, automatically discovering and extracting test data from any source, and enabling engineers to narrow choices to the most promising candidates before conducting physical tests.

Explore how Simcenter™ Material Data Center can help your team reduce testing costs, achieve shorter development cycles and gain greater confidence in material decisions.