ArcelorMittal
Purdue University, Missouri University of Science & Technology, Rensselaer Polytechnic Institute
Absence of predictive maintenance and real-time quality prediction tools increases the overall energy intensity of the steelmaking process via increased unplanned turnarounds (UPTA) and product defects.
Improve steel slab quality and continuous caster productivity using Smart Manufacturing (SM) methodologies and technologies to address the top two KPIs of the continuous casting process –yield (minimize defects/rejects) and uptime (reduce UPTA).
Project Duration: 24 months, CESMII Cost Share: 69%, Member Cost Share: 31%
Headquarters: Los Angeles, California
(888) 720-8096 | info@cesmii.org