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Solution Space Exploration to Design Ladle Refining Operation for Desired Downstream Requirements Using Operability Framework
Author(s) -
Mondi Jayanth,
Shukla Rishabh,
Subramanian Sivakumar
Publication year - 2018
Publication title -
steel research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.603
H-Index - 49
eISSN - 1869-344X
pISSN - 1611-3683
DOI - 10.1002/srin.201800010
Subject(s) - operability , ladle , refining (metallurgy) , process (computing) , process engineering , computer science , work (physics) , downstream (manufacturing) , engineering , mechanical engineering , reliability engineering , operations management , chemistry , operating system
Deeper understanding of each process step involved in the manufacturing of steel products will be of immense value to process engineers. In this work, the authors explore the flexibilities in a key process step called ladle refining using the operability framework of Vinson and Georgakis (doi:/10.1016/S0959‐1524(99)00045‐1). The methodology systematically uncovers the process behavior using its mathematical model. The RSM model presented by Shukla et al. (doi:10.1002/srin.201500392) for ladle refining is utilized here. Typically, operating windows for a given process requirement are determined after conducting several plant trials or experiments. These can be time consuming and expensive. The quantitative approach presented in this work can help the operator to identify best possible regions to work with. For example, the authors are able to answer questions such as, in what part of input space should the process be operated to achieve inclusion removal efficiency better than 70% with melt exit temperature in the range of 1825–1850 K? Identifying operating points with certain desired conditions such as maximum inclusion removal efficiency becomes a straightforward search among the computed points. The methodology can be extended to include other unit operations in the process chain.