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AI-aided polyurethane simulation reduces modeling time from days to seconds. Digital material twins optimize tool design and predict foaming behavior.

Plastic manufacturing data analytics shifts quality control upstream. Real-time monitoring and AI improve OEE and identify root causes before defects occur.

Digitalization bridges the knowledge gap in the plastics industry. AI tools, smart displays, and chatbots capture expert data for future generations.

Insights from K Show: 3D printing finds key niches in plastics, from conformal-cooling tooling to large-format parts and TPU lattices.

A two-year program conducted by CEFLEX gathered information from 1,700 data points and over 600 packaging samples. As a result, a design guide was developed to ensure the practical recyclability of flexible packaging.

Explore how MDO units and EVOH resins enable recyclable mono-material packaging, meeting European PPWR rules while improving strength, barrier, and sustainability.

Learn to read material datasheets—MFI, rheology, HDT, modulus, shrinkage and CTE—to cut injection molding cycle time and avoid warpage and rework.

Gate placement isn’t just a technical detail—it shapes everything from aesthetics to internal stress, shrinkage control, flow quality, and mold wear.

This is the second in a two-part series discussing adjusting your injection molding process to incorporate PCR.

The plastics industry in Mexico is preparing for the different scenarios amidst the uncertainty arising from the tariffs situation.