How Dielectric Analysis Fills a Solution Gap
Dielectric analysis (DEA) is a measurement technique that characterizes materials based on their electrical properties. The mobility of molecular chains within a material is measured in response to an applied alternating current field. When integrating them into plastics processes, in-mold DEA sensors can provide real-time data on material properties as they undergo molding. By offering a continuous, in-situ view of a polymer material’s state, DEA technology can address the challenges posed by recycled materials. In particular, deviations in solidification/crystallization behavior due to material damage and composition should be mentioned here. Anomalies are detected and evaluated using specifically trained software algorithms that combine material science and machine parameters.
sensXPERT Digital Mold, a technology from NETZSCH Process Intelligence GmbH, offers an advanced solution that combines sensor data, machine parameters, material science and machine learning to continuously monitor and control plastics production processes. Key features include real-time anomaly detection and dynamic process adjustments. These capabilities ensure that deviations in material behavior are detected immediately and countermeasures can be taken, maintaining consistent final product quality. sensXPERT is a solution that acts as a central unit to bundle pressure/temperature/dielectric sensor data, machine parameters and material science and supports the customer as a co-pilot.
For plastics processors, the technology improves production efficiency by minimizing defects and reject rates, ensuring consistent part quality and providing comprehensive data transparency for regulatory compliance. As a result, recycled materials can be processed effectively.