Injection Molding

In a presentation at SPE ANTEC® 2025, researchers showed how Meta’s DINOv2 can optimize the detection of injection molding defects.

As industries strive to integrate recycled materials into mainstream manufacturing, researchers continue to explore ways to enhance the usability of post-industrial recycled polypropylene (PIR-PP).

Pia Wagner from the Institute for Plastics Processing (IKV) in Germany received the award for Best Presentation during the Injection Molding chapter’s reception at ANTEC 2025.

This is the first of a two-part series that will provide insight into the adjustments needed in your molding operation to process post-consumer recyclate (PCR).

Free flow or jetting is a defect associated with poor gate design. It should be checked for as part of any new mold design process.

The diesel effect can occur in molds with insufficient venting, leading to burned parts in injection molding. However, several solutions can help prevent this defect.

As one of the most adaptable polymer processing techniques, injection molding could transform plant-based meat production.

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

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.

Borg-Warner Corporation introduced Acrylonitrile Butadiene Styrene (ABS), an amorphous engineering thermoplastic, to the market in 1954. Since then, ABS has become essential across industries for its unique blend of properties. Today, manufacturers produce over 6,000 grades, ensuring its adaptability to diverse applications.

Energy efficiency in mold design is rarely considered but cooling, the size of sprues and runners and how the part is ejected all have energy use implications that should be considered at the design stage. 

Controlling cooling, energy consumption, and downtime can help you reduce your cost per part using the resources you already have in your shop.