Equipment

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.

Melt filtration affects ABS recyclate quality, pressure stability, contaminant removal, melt flow, and the risk of polymer degradation.

SPE’s 2026 Injection Molding Innovation Summit will feature Xact Metal in a panel on moldmaking with metal 3D printing.

Reducing melt overheating, back pressure, and poor mold cooling can shorten cooling time and improve injection molding efficiency.

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

Engineers optimize TPUs with novel antimicrobial fillers and surface methods, improving commercial medical device manufacturing and preventing material failures.

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

Engineers leverage ultrasonic welding to assemble full-scale thermoplastic fuselages, eliminating mechanical fasteners and cutting cycle times.