Sensors

Cavity pressure feedback helps control variation, monitor part quality, and support increasingly autonomous injection molding processes.

In-line Raman spectroscopy and rheology can reveal material changes during extrusion, helping track resin changeovers, viscosity, and process stabilization.

A double-layer liquid crystal polymer film reduces ghost images in automotive AR-HUDs while improving reflectivity and maintaining windshield transparency.

AI sorting, data-driven compounding, and digital traceability improve PCR purity, consistency, and confidence across recycling value chains.

Real-time resin diagnostics help processors monitor melt behavior, manage recycled-content variability, and improve plastics quality control.

Infrared thermography and neural networks help predict injection-molded part quality by analyzing thermal patterns linked to cooling and warpage.

Smart controls and modified plasticizing systems help stabilize recyclate injection molding despite variations in viscosity and feedstock.

Shape memory polymers expand massively to eliminate aneurysm recurrence. Engineers utilize entropic recovery to optimize endovascular devices.

Engineers use machine learning algorithms to map polymer degradation, replacing physical trials with precise predictive models for industrial extrusion pipelines.

Monolithic 3D printing with bio-based resins enables origami-inspired soft robotics without assembly, combining sustainability and design complexity.