Improve Metal Components Durability with Imaging and AI

Quantifying Metal Ageing to Build More Durable Components

Struggling to link complex imaging data to real-world metal performance and long-term durability?

What You’ll Learn
In this webinar, you’ll see how advanced imaging combined with AI-powered analysis can quantify the key material properties that drive ageing in metals and alloys. Learn how to transform raw 2D/3D imaging data into actionable, quantitative insights using intuitive visualization tools—bridging the gap between laboratory characterization and component reliability in service.

Key Takeaways

• Compare target designs with as-manufactured components to identify critical deviations
• Quantify volumetric changes in metals under thermal variation
• Evaluate coating adhesion to underlying metal structures
• Relate crystalline structure and microstructural features to crack formation

Who Should Attend
Materials scientists, metallurgists, and R&D engineers working to improve the reliability, performance, and lifetime of metal components.

Save Your Spot
Join this webinar to learn how AI-driven imaging analysis can turn complex materials data into clear insights that help you optimize performance and push metal component durability further.