Machine Learning–Based On-Line Model for Slag Conditioning in Ladle Furnaces at Ternium Mexico

J. Lara, N. Sánchez, A. Zambrano
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Abstract

Digital technologies are transforming industry at all levels. Steel has the opportunity to lead all heavy industries as an early adopter of specific digital technologies to improve our sustainability and competitiveness. This column is part of AIST’s strategy to become the epicenter for steel’s digital transformation, by providing a variety of platforms to showcase and disseminate Industry 4.0 knowledge specific for steel manufacturing, from big-picture concepts to specific processes. Machine Learning–Based On-Line Model for Slag Conditioning in Ladle Furnaces at Ternium Mexico
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基于机器学习的terum Mexico钢包炉炉渣调理在线模型
数字技术正在改变工业的各个层面。作为特定数字技术的早期采用者,钢铁有机会引领所有重工业,以提高我们的可持续性和竞争力。本专栏是AIST成为钢铁数字化转型中心战略的一部分,通过提供各种平台来展示和传播钢铁制造特定的工业4.0知识,从大局概念到具体流程。基于机器学习的terum Mexico钢包炉炉渣调理在线模型
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