LIVE WEBINAR SERIES
General Motors: Crash Safety Optimization with AI-Driven Modeling
Date: May 7, 2026
Time: 4:00pm CEST | 10:00am EDT | 7:00am PDT
In modern vehicle development, optimizing injection molding parameters is essential for ensuring reliable crash performance, especially as OEMs increasingly incorporate fiber‑reinforced plastics into structural components.
In this webinar, General Motors (GM) experts will walk through a real case study demonstrating how Digimat and ODYSSEE (CAE & A‑EYE) were coupled to:
- Predict sensing system behavior in crash scenarios
- Evaluate fiber orientation resulting from various injection gate timings
- Generate a reduced-order model (ROM) enabling ultra‑fast predictions
- Optimize manufacturing parameters to improve safety performance
The session will detail how GM implemented Moldflow and Digimat simulation datasets to train ODYSSEE’s machine learning (ML) models and dramatically accelerate optimization cycles.
Key takeaways
You will learn how to:
- Use ODYSSEE CAE to create reduced-order models enabling rapid sensing-output predictions
- Apply ODYSSEE A‑EYE to infer crash sensor response directly from fill-pattern images
- Couple Moldflow injection simulations with Digimat fiber orientation modeling
- Optimize gate timing sequences to balance manufacturability and crash safety
- Reduce multi‑day simulation workflows to near‑real‑time prediction cycles
Who should attend?
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| CAE engineers |
Material modeling & structural simulation experts | Injection molding and manufacturing engineers |
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| Safety and crashworthiness engineers | Anyone engaged in composite or fiber‑reinforced component design |
This webinar also includes a dedicated Q&A session, a unique opportunity to ask your questions directly to the GM experts and engage with them in real time.
Don’t miss the opportunity to see how GM accelerates crash safety optimization with Digimat and ODYSSEE, turning days of simulation into seconds of insight.
Speakers
