PR-DT0322-1 - 2022 Digital Transformations, March

Machine Learning for Blast Furnace Productivity Improvement at Jindal Steel and Power Angul

A. Gandhi, R. Mishra, A. Fadnis, R. Jaiswal, S. Mishra, A. Sircar

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Abstract:
Jindal Steel and Power Ltd. (JSPL), a major steel producer in India, commissioned its first blast furnace, with a size of 4,554 m3, in May 2017, at its plant located at Angul, Odisha, India. This paper will describe machine learning (ML)–based computational efforts for improved blast furnace productivity, complementing the knowledge of iron and steel specialists. A productivity trend for the evaluation period is shown in Fig. 1. Capacity of the plant went from 1.5 MTPA (with a production route utilizing direct reduced iron (DRI), an electric arc furnace (EAF), continuous caster (CC), rolling mill) in 2017 to 6 MTPA (utilizing a blast furnace (BF), basic oxygen furnace (BOF), CC, rolling mill production route) at end of the evaluation period.


Keywords: digital transformation, industry 4.0