- author = "Miha Kovacic and Damir Novak",
- title = "Prediction of the chemical non-homogeneity of {30MnVS6} billets with genetic programming",
- journal = "Materials and Technology",
- year = "2016",
- volume = "50",
- number = "1",
- pages = "69--74",
- keywords = "genetic algorithms, genetic programming, steel, casting, billets, chemical composition, non-homogeneity, modelling",
- ISSN = "1580-2949",
-
URL = "
http://mit.imt.si/Revija/izvodi/mit161/kovacic.pdf",
- size = "6 pages",
- abstract = "Store Steel Ltd. is a small and flexible steel plant. The plant also produces the 30MnVS6 steel grade, which is used for crack connection rods in the automotive industry. The chemical elements are not uniformly distributed over the billet cross-sections, consequently influencing the final product properties. The chemical distribution depends mainly on the casting parameters. The article presents an attempt at predicting the chemical non-homogeneity of 30MnVS6 billets. With respect to the chemical-element distribution (percent C, percent Si, percent Mn, percent V, percent S) over the billet cross-sections and the casting parameters (casting speed, casting temperature, meniscus level), several models for the chemical non-homogeneity prediction were developed by means of the genetic-programming method. The results show that the most influential parameter is the casting speed. The results of modelling can be practically implemented in order to reduce the chemical non-homogeneity of the billets.",
-
notes = "Napovedovanje nehomogenosti kemijske sestave pri
gredicah 30MnVS6 s pomocjo genetskega programiranja
UDK 669.18:004.89:621.74
Journal is financially supported by Slovenian Research Agency (ARRS)",
