Use of neural networks for the analysis of lifetime of casting ladle linings

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F09%3A00022203" target="_blank" >RIV/61989100:27360/09:00022203 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Use of neural networks for the analysis of lifetime of casting ladle linings

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Use of neural networks for the analysis of lifetime of casting ladle linings

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

JG - Hutnictví, kovové materiály

OECD FORD obor

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Projekt

<a href="/cs/project/FI-IM3%2F165" target="_blank" >FI-IM3/165: *Komplexní snižování měrných emisí CO2 při výrobě oceli.</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Students´ Day of Metallurgy

ISBN

978-80-248-2006-4

ISSN

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e-ISSN

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Počet stran výsledku

1

Strana od-do

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Název nakladatele

Vysoká škola báňská - Technická univerzita Ostrava

Místo vydání

Ostrava

Místo konání akce

Ostrava

Datum konání akce

23. 4. 2009

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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