Reduction of Surface Defects and Optimization of Continuous Casting of 70MnVS4 Steel
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- @Article{Kovacic:2018:IJSIMM,
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author = "Miha Kovacic and Miran Brezocnik",
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title = "Reduction of Surface Defects and Optimization of
Continuous Casting of {70MnVS4} Steel",
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journal = "The International Journal of Simulation Modelling",
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year = "2018",
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volume = "17",
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number = "4",
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pages = "667--676",
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month = dec,
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keywords = "genetic algorithms, genetic programming, Steel,
Continuous Casting, Surface Defects, Casting
Parameters, Modelling and Optimization",
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ISSN = "1726-4529",
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publisher = "DAAAM Int.",
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URL = "http://www.ijsimm.com/Full_Papers/Fulltext2018/text17-4_667-676.pdf",
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size = "10 pages",
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abstract = "High-strength steel 70MnVS4 is often used for forging
connecting rods in the automotive industry. Connecting
rod performance depends also on surface quality.
Several defects, including surface defects, originate
from the continuous casting process. The paper presents
the monitoring of the most influential parameters
(casting temperature, type of mould steel jacket,
casting speed, water flux in the mould and the
difference between input and output water temperature
in the mould) during continuous casting of 70MnVS4
steel. Also the results of surface control of the
rolled material (automatic control line) were
collected. Using the gathered data, the model for
predicting the ratio between material with surface
defects and the examined material was developed using
linear regression and genetic programming. Based on
modelling results, only one type of mould steel jacket
was used, while casting speed and mould water flow were
increased from 1.13 m/min to 1.18 m/min and from 1300
l/min to 1500 l/min, respectively. In the period from
January 2015 to October 2018 the scrap rate of 70MnVS4
and overall scrap rate was reduced by 22.29 percent and
18.04 percent, respectively.",
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notes = "IJSIMM http://www.ijsimm.com/",
- }
Genetic Programming entries for
Miha Kovacic
Miran Brezocnik
Citations