Digital twin for viscosity monitoring in injection moulding
Smart, adaptive, and seamless precision for plastic processing
Project: R3GROUP
Publisher: IPC
Technology: Digital Twin
Industry: Automotive
INTRODUCTION
The AI-driven Digital Twin technology leverages advanced simulations for real-time viscosity monitoring, enabling precise inline detection of material property changes and accurate predictions of final product quality.
Designed for seamless integration with any machine, regardless of brand, this AI-powered solution continuously refines its predictive models to optimize processes and enhance efficiency. Real-time viscosity monitoring ensures precise control over material properties, making it particularly effective when handling recycled or newly introduced materials. By reducing startup time and dynamically adapting to unknown inputs, it empowers manufacturers with greater performance, flexibility, and control.
FEATURES/BENEFITS
With this Digital Twin, it's now possible to:
- Enhanced product quality and consistency in recycled material moulding
- Reduced material waste and operational costs through precise simulations
- Decreased time-to-market with rapid testing of new material
- Increased competitiveness by adopting cutting-edge moulding technology
TECHNICAL INFORMATION
The features of this solution are:
- Real-time simulation of material flow in the machine nozzle
- Optimisation algorithms to optimise the moulding process
- Real-time data analysis to enhance the final quality of the moulded part
- Transfer learning to adapt quality prediction model to unknown material
RESOURCES
USE CASE
SERVICES LINKED
PUBLISHERS
