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  • One of the most important aggregates of steel plant is the casting ladle. Its high lifetime is guaranteed by lining of high quality refractories. Multiple use of the casting ladles during the working campaign causes the wear of its lining. This wear is given by the erosive and the corrosive effects of the molten metal and slag. Slowing the process of lining wear can be guaranteed not only by choosing the type of refractory materials, as well as other measures, particularly suitable ladles thermal regime. Keeping the temperature of ladles lining on high, as far as possible constant temperatures, positively influences the degree of linings wear. Therefore, this work, entitled ?Use of neural networks for the analysis of lifetime of casting ladle linings?, is focused on the issue of refractories used for the lining of casting ladles and a proposal of method for evaluating the lifetime of casting ladle linings considering operational factors. Based on the evaluation of casting ladle lining lifetime will b
  • One of the most important aggregates of steel plant is the casting ladle. Its high lifetime is guaranteed by lining of high quality refractories. Multiple use of the casting ladles during the working campaign causes the wear of its lining. This wear is given by the erosive and the corrosive effects of the molten metal and slag. Slowing the process of lining wear can be guaranteed not only by choosing the type of refractory materials, as well as other measures, particularly suitable ladles thermal regime. Keeping the temperature of ladles lining on high, as far as possible constant temperatures, positively influences the degree of linings wear. Therefore, this work, entitled ?Use of neural networks for the analysis of lifetime of casting ladle linings?, is focused on the issue of refractories used for the lining of casting ladles and a proposal of method for evaluating the lifetime of casting ladle linings considering operational factors. Based on the evaluation of casting ladle lining lifetime will b (en)
Title
  • Use of neural networks for the analysis of lifetime of casting ladle linings
  • Use of neural networks for the analysis of lifetime of casting ladle linings (en)
skos:prefLabel
  • Use of neural networks for the analysis of lifetime of casting ladle linings
  • Use of neural networks for the analysis of lifetime of casting ladle linings (en)
skos:notation
  • RIV/61989100:27360/09:00022203!RIV10-MPO-27360___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(FI-IM3/165)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
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  • 347910
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27360/09:00022203
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Ladle; neural network; temperature; insulating (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4A7484FB9229]
http://linked.open...v/mistoKonaniAkce
  • Ostrava
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  • Ostrava
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  • International Students´ Day of Metallurgy
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Jančar, Dalibor
  • Tvardek, Petr
  • Hašek, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoká škola báňská - Technická univerzita Ostrava
https://schema.org/isbn
  • 978-80-248-2006-4
http://localhost/t...ganizacniJednotka
  • 27360
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