Creating an Injection Molding Digital Twin: Achieving Accurate Warpage Predictions With Simulation

As manufacturers push for tighter tolerances and more complex plastic components, injection molding simulation has become essential for reducing development time and tooling costs. By creating a digital twin of the injection molded part and mold, engineers and designers can accurately evaluate filling behavior, cooling performance, and potential defects long before steel is cut. While predicting injection pressure and mold filling has been reliable for years, achieving accurate warpage predictions has remained one of the biggest challenges in injection molding simulation.

This webinar explores how to build a high-fidelity injection molding digital twin that delivers consistent and trustworthy warpage simulation results. Attendees will learn how advanced material models such as CRIMS and STAMP can change the accuracy of warpage predictions inside leading simulation tools like Autodesk Moldflow.

Using real-world case studies, we will demonstrate how to set up a simulation that mirrors the actual molding process and how we use the digital twin to troubleshoot warpage issues before production begins. After attending, participants will understand:

1. Which mold details and process inputs must be included in your digital twin to accurately simulate your injection molding process and achieve reliable warpage predictions.

2. How modern warpage material models such as CRIMS and STAMP work and how they influence simulation accuracy during every phase of the product design process.

3. How simulation can identify root causes of part warpage and guide effective design or process changes before the first shot is molded.