Industry 4.0

AI is helping researchers design sustainable flame-retardant biodegradable composites faster by optimizing fire performance, strength, and material efficiency.

Virtual injection molding training using digital twins improves skills, cuts costs, and reduces material waste.

AI-driven reinforcement learning enables polymer design optimized for performance and manufacturability.

Advanced printing technologies from CubiCure and Supernova are redefining additive manufacturing with high‑viscosity photopolymer resins.

Advancements in biotechnology highlight how engineered microbial catalysts can recycle plastic waste in vivo.

A newly developed, open-access tool helps plastic recyclers pinpoint appropriate market applications.

Engineers leverage thermotropic LCE phase transitions to power prosthetics, overcoming rigid motor constraints with flexible actuation.

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

Researchers are fine-tuning computer vision systems to help identify and sort plastic waste on construction sites.

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