This failure methodology utilizes purposeful generation of labeled failure mode datasets via surrogate purposeful failure twin (SPFT) simulations. Machine learning powered performance analysis, predictive maintenance, and production management capable of reducing unexpected failure and unnecessary downtime are enabled via this innovation. This technology revolutionizes the manufacturing operations management (MOM) system market, which currently suffers from a gap in the availability…
Inventor: Ethan Wescoat, Laine Mears
This easy modification creates polymer surfaces with high-density functionality by using polyethylene terephthalate (PET) capillary-channeled polymer (C-CP fibers) as the support material. The low-cost modification provides the capability for fast protein separations for proteomics applications and downstream processing due to the improved binding capacity.
Inventor: Richard Kenneth Marcus, Liuwei Jiang