Phenomenological Prediction of Defect Formation in Continuous Casting of Steel Utilizing Fundamental Modeling and Machine Learning
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DOI: 10.1002/srin.202500645
Abstract: Defect formation during continuous casting results in the downgrading and rejection of cast products at steel plants. This article aims to predict transverse cracks and slag defects in continuous casting with decision trees utilizing phenomenological… read more here.
Keywords: formation continuous; phenomenological prediction; steel; defect formation ... See more keywords