Case Study on Digital Twin for Injection Molding Optimization

Decision Compass Call – M4.0 Technologies

Case Study on Digital Twin for Injection Molding Optimization

Thursday, December 12, 2024 | 11 a.m. EDT

Abstract: Learn how Corning Incorporated, an industry leader in material science, is using physics-based and data driven models to design and control injection molding processes, reducing the cost of product development and time to market, while improving process efficiency and product quality.

Topic Leaders: Jim LaPenna, Manufacturing Director and Sairam Prabhakar, Manager Advanced Analytics / Machine Learning

DC Group Facilitator: Steven Moskowitz, Ph.D., Senior Content Director, Manufacturing Leadership Council