LIFT Off Webinar Presented by EOS

Traditional qualification methods for additive manufacturing are slow, costly, and heavily dependent on trial-and-error testing. This webinar explores how advanced digital technologies are transforming that paradigm—enabling faster, more scalable, and data-driven qualification for mission-critical components.

Join us to discover how AI, in-situ monitoring, and closed-loop control systems are unlocking a new era of qualification for Laser Powder Bed Fusion (LPBF).

What You’ll Learn:

• How to overcome the bottlenecks of empirical testing in AM qualification
• The role of multi-modal sensor fusion in predicting microstructure and mechanical properties directly from the build
• Strategies to scale quality assurance from single-laser R&D systems to multi-laser production environments
• How collaborative ecosystems are accelerating AI-driven qualification pathways

Technologies Enabling This Shift:

• Machine Learning & Predictive Modeling
• In-Situ Process Monitoring (ISPM)
• Laser Powder Bed Fusion (LPBF)
• Closed-Loop Control Systems

Learning Objectives: By attending, you will: Understand how AI and real-time process data reduce reliance on destructive testing Learn how to translate in-situ sensor data into accurate predictions of part performance Identify proven pathways for deploying AI to accelerate qualification of mission-critical systems