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Foamed TPE and PP could replace non-recyclable automotive soft-touch structures while reducing weight and increasing recycled content.

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

PFAS restrictions are forcing plastics suppliers to reformulate high-performance materials without sacrificing heat, friction, or durability.

Dimensionless analysis links flow-mark formation in polypropylene injection molding to melt relaxation, cavity scale, and the Weissenberg number.

The AI Injection Molding Ecosystem is not about predicting the future. It connects materials, simulations, machines, molds, sensors, and AI into a single ecosystem that enables better decisions in real time.

Flexloop uses solvent extraction to remove inks, adhesives, odors, and contaminants from flexible films, enabling higher-quality recycled resin.

Plastic additives enabled global polymer growth, but today they also create new challenges for recycling, compliance, and circular material design.

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

Healthcare foams face growing pressure from PCR adoption, PFAS restrictions, EPR policies, and circularity goals across medical supply chains.

Researchers are addressing polymer data scarcity through AI, high-throughput experiments, simulations, literature mining, and standardized databases.

LEGO is reducing emissions and expanding the use of renewable, recycled, and mass-balance plastics across its global toy portfolio and supply chain.

Early plastics recycling succeeded with clean, single-resin streams but struggled with contamination, weak markets, and systems not designed for scale.