When teamed with a laser-based 3D computer vision system, AI and machine learning can dramatically increase assembly-line throughput and reduce scrap while improving overall product quality, even with the smallest components used in cars, cell phones, consumer electronics, and medical devices. Potential cost savings in the U.S. alone could top tens of millions of dollars annually.
Aware of the need to develop adhesives that are increasingly efficient and environmentally respectful, AIMPLAS has been actively involved in projects aimed at improving adhesive technologies.
A renewable raw material can be effectively incorporated into a hot-melt formulation with the objective of not only increasing the renewable content of the adhesive but also maintaining high performance standards.
Read about how Hexion is integrating advanced digital tools and renewable raw materials to reduce environmental impact and enhance manufacturing performance.