A processing stage that involves a molten state, commonly known as melt, is required in order to convert polymers from raw materials into the final product. After cooling, the final product will ...

A machine learning method developed by researchers from the Institute of Science Tokyo, the Institute of Statistical Mathematics, and other institutions accurately predicts liquid crystallinity of ...

For semi-crystalline polymers, the crystallinity rate is a key parameter which directly influences mechanical properties, such as mechanical resistance or stiffness, as well as thermal and gas barrier ...

In a previous article we reviewed rapid forming of thermoplastic composites (TPC). In the second part of this three-part series, we’ll explore the thermal processes and how these can be managed, ...

But here’s the challenge: traditional QA/QC methods are often slow, hands-on, and destructive. They rely on solvent-based extraction or other time-consuming processes that are unable to keep up with ...