Industry

Integrating waste polymers with additive manufacturing (AM) for constructing vertical farming systems provides a sustainable solution to address food insecurity and promote circularity.

Emirates Biotech and Sulzer are joining forces to build the UAE’s world’s largest PLA production facility. This initiative aligns with global environmental goals and the UAE’s Green Agenda 2030.

In an era of the need for sustainable development and reduced environmental impact, lignocellulosic fibers (LCFs) have emerged as promising alternatives for creating eco-friendly engineering composites.

Alice Fergerson, along with Emily Davidson’s team at Princeton University, has developed a breakthrough material: a 3D-printable thermoplastic elastomer (TPE) that combines localized flexibility with controlled rigidity.

Once a surplus trade partner to the U.S., Vietnam has transitioned into a deficit position as its imports of American plastic products overgrow.

IBM’s innovative polymer optical waveguide (PWG) technology replaces traditional electrical interconnects with optical connections, offering faster, energy-efficient performance.

Plastics Engineering has conducted interviews throughout 2024 to obtain experts’ points of view on different topics related to the plastics industry.

The global bioplastics market is experiencing unprecedented growth. It is projected to rise from USD 9.1 billion in 2020 to USD 30.9 billion by 2028 at a Compound Annual Growth Rate (CAGR) of approximately 16%.

The plastics industry is transforming under sustainability demands, with coatings driving growth through recyclable mono-material solutions replacing multilayer packaging.

In 2024, leading players in the plastics industry actively shaped the market through strategic actions, including significant mergers, acquisitions, and innovations that drive market transformation.

The PCR packaging market is projected to grow at a CAGR of 8.52%, increasing from 4.18 million tonnes in 2023 to 6.81 million tonnes by 2029, driven by sustainability goals and regulatory mandates.

Machine learning (ML) is revolutionizing quality control in manufacturing, enabling faster, smarter, and more efficient processes. By addressing the limitations of traditional methods, ML enhances defect detection, waste reduction, and overall reliability.