Material Memory and Springback: Predictive Modeling Techniques

Aluminum “remembers” its shape, often springing back after bending. This article explores predictive modeling techniques that help engineers forecast and control springback behavior. By leveraging simulations and real-time data, manufacturers can achieve more accurate bends, reduce costly rework, and design processes that account for material memory.

Learn how predictive modeling minimizes springback and ensures precision with Inductaflex.