10:00 AM CEST / 1:30 PM IST | Wednesday, July 15, 2026 | Check Your Time

Registration Deadline: ONE DAY BEFORE THE WEBINAR.

Design of Experiments (DOE) provides a structured framework for systematically testing multiple variables simultaneously. While traditional molding trials optimize part quality and cycle times on existing physical hardware, managing these variables before a mold is built presents a unique challenge.

By leveraging injection molding simulation, engineers can replicate the entire process virtually—expanding the testing scope to encompass part geometry, gate placement, cooling configurations, material choices, and processing windows. This presentation explores how Moldex3D can be utilized to transition these workflows into a highly automated optimization pipeline.

Key Takeaways:

• What various inputs can be incorporated into the DOE for optimization?
• How to interpret the outputs from the DOE to make informed decisions in the actual production process?
• The application of AI-Optimization tool with Studio.