Crack presence modeling after rolling by genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Kovacic:2009:RMZ,
-
author = "Miha Kovacic and Katja Mackosek and Andrej Mihevc and
Tomaz Marolt",
-
title = "Crack presence modeling after rolling by genetic
programming",
-
title2 = "Modeliranje prisotnosti razpok z genetskim
programiranjem",
-
journal = "RMZ - MATERIALS AND GEOENVIRONMENT",
-
year = "2009",
-
volume = "56",
-
number = "1",
-
pages = "24--29",
-
month = mar,
-
keywords = "genetic algorithms, genetic programming, steel,
cracks, modeling, jeklo, razpoke, modeliranje, genetsko
programiranje",
-
ISSN = "0035-9645",
-
URL = "http://www.rmz-mg.com/ENG_1.htm",
-
URL = "http://www.rmz-mg.com/letniki/rmz56/RMZ56_0024-0029.pdf",
-
size = "6 pages",
-
abstract = "The optimal material processing in steel industry is
difficult because of the multi-constituent and
multiphase character of the commercial steels, variety
of the possible processing paths, and plant specific
equipment characteristics. This paper shows
implementation of the genetic programming approach for
crack presence modeling after rolling. The data (110
samples covering 7 different steel grades) on diffusive
annealing, last pass rolling temperature, chemical
composition of steel (weight percent of Mn, Cr, Mo and
V), steel bar dimensions (width and thickness), heating
time of the first and the last batch billet were
collected during daily production. The manual
ultrasound method was used for crack detection. On the
basis of the monitored data a mathematical model for
crack presence was developed by genetic programming.
For the modeling it was adopt that after the rolling
the material was treated equally. According the
modeling results it is possible to assume that the
material processing after rolling is probably very
influential on crack occurrence.",
-
abstract = "Optimalna obdelava materiala v jeklarstvu je v
splo\u0161nem ote\u017eena zaradi raznolikosti
komercialnih jekel, mo\u017enih obdelovalnih procesov
in specifi\u010dne obdelovalne in procesne opreme. V
\u010dlanku je opisana uporaba metode genetskega
programiranja za modeliranje prisotnosti razpok v jeklu
po valjanju. Podatki (110 primerov, 7 razli\u010dnih
kvalitet) so zbrani med dnevno proizvodnjo: kemijska
sestava (masni procenti Mn, Cr, Mo in V), \u0161irina
in debelina palice ter \u010das ogrevanja prve in
zadnje gredice. Prisotnost napak smo ugotavljali z
ro\u010dnim ultrazvokom. Na podlagi monitoringa
podatkov je bil razvit matemati\u010dni model za
ugotavljanje prisotnosti razpok v jeklu. Pri
modeliranju smo predpostavili, da je bil postopek po
valjanju (ohlajevanje) za ves material enak. Rezultati
modeliranja ka\u017eejo na to, da je rokovanje po
valjanju izredno pomembno za pojav razpok.",
-
notes = "Store Steel Ltd.",
- }
Genetic Programming entries for
Miha Kovacic
Katja Mackosek
Andrej Mihevc
Tomaz Marolt
Citations