In-plant piloting of real-time measurement of hot metal chemistry

DOIResolve DOI: https://doi.org/10.33313/390/013
AuthorSearch for: 1; Search for: 2ORCID identifier: https://orcid.org/0000-0002-7026-2570; Search for: 3; Search for: 3; Search for: 1; Search for: 1; Search for: 1; Search for: 2; Search for: 1; Search for: 1; Search for: 3; Search for: 3; Search for: 3; Search for: 3; Search for: 2; Search for: 2; Search for: 2ORCID identifier: https://orcid.org/0000-0002-4557-8207; Search for: 1
Affiliation
  1. Hatch Ltd.
  2. National Research Council Canada. Clean Energy Innovation
  3. Stelco
FormatText, Article
ConferenceAISTech 2026, Iron & Steel Technology Conference, May 4-5, 2026, Pittsburgh, Pennsylvania, United States
Subjectblast furnace ironmaking; AI; machine learning; artificial intelligence; hot metal silicon measurement; process control; thermal control; real-time measurement
Abstract
Date published
PublisherAssociation for Iron & Steel Technology
Copyright statement
  • © 2026 by the Association for Iron & Steel Technology
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LanguageEnglish
Peer reviewedNo
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Record identifier12721151-b79d-4fdd-8e68-f9d7c3142436
Record created2026-05-14
Record modified2026-05-25

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