Optimization of Billet Cooling after Continuous Casting Using Genetic Programming—Industrial Study
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- @Article{kovacic:2024:metals,
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author = "Miha Kovacic and Aljaz Zupanc and Robert Vertnik and
Uros Zuperl",
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title = "Optimization of Billet Cooling after Continuous
Casting Using Genetic Programming—Industrial Study",
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journal = "Metals",
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year = "2024",
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volume = "14",
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number = "7",
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pages = "article--number: 819",
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month = "16 " # jul,
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keywords = "genetic algorithms, genetic programming, billet
cooling, continuous casting, ultrasonic testing,
logistic regression, industrial study, steel making,
optimisation",
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ISSN = "2075-4701",
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URL = "https://www.mdpi.com/2075-4701/14/7/819",
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DOI = "doi:10.3390/met14070819",
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size = "12 pages",
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abstract = "Store Steel Ltd. is one of the three steel plants in
Slovenia. Continuous cast 180 mm by 180 mm billets can
undergo cooling to room temperature using a turnover
cooling bed. They can also be cooled down under hoods
or heat treated to reduce residual stresses. Additional
operations of heat treatment from 36 h up to 72 h and
cooling of the billets for 24 h, with limited
capacities (with only two heat treatment furnaces and
only six hoods), drastically influence productivity.
Accordingly, the casting must be carefully planned
(i.e., the main thing is casting in sequences), while
the internal quality of the billets (i.e., the
occurrence of inner defects) may be compromised. Also,
the stock of billets can increase dramatically. As a
result, it was necessary to consider the abandoning of
cooling under hoods and heat treatment of billets.
Based on the collected scrap data after ultrasonic
examination of rolled bars, linear regression and
genetic programming were used for prediction of the
occurrence of inner defects. Based on modeling results,
cooling under hoods and heat treatment of billets were
abandoned at the casting of several steel grades.
Accordingly, the casting sequences increased, and the
stock of billets decreased drastically while the
internal quality of the rolled bars remained the
same.",
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notes = "Also known as \cite{met14070819}
metals-14-00819-v2.pdf
Store steel, d.o.o., Research and Development, 3220
Store, Slovenia",
- }
Genetic Programming entries for
Miha Kovacic
Aljaz Zupanc
Robert Vertnik
Uros Zuperl
Citations