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

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Use of neural networks for the analysis of lifetime of casting ladle linings
Original language description
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
Czech name
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Czech description
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Project
<a href="/en/project/FI-IM3%2F165" target="_blank" >FI-IM3/165: *Complex reduction of CO2 production in steel industry.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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