Prediction of Steel Atmospheric Corrosion by Means of Artificial Intelligence Methods.

Kód výsledku v IS VaVaI

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Nalezeny alternativní kódy

RIV/25794787:_____/11:#0000424

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Prediction of Steel Atmospheric Corrosion by Means of Artificial Intelligence Methods.

Popis výsledku v původním jazyce

Atmospheric corrosion of metal materials exposed under atmospheric conditions depends on various factors such as local temperature, relative humidity, amount of precipitation, pH of rainfall, concentration of main pollutants and exposition time. As thesefactors are very complex, exact relation for mathematical description of atmospheric corrosion of various metals are not known so far. Classical analytical and mathematical functions are of limited use to describe this type of strongly non-linear systemdepending on various meteorological-chemical factors and interaction between them and on material parameters. Nowadays there is certain chance to predict a corrosion loss of materials by artificial intelligence methods. The contribution deals with the use of artificial neural networks for prediction of steel atmospheric corrosion.

Název v anglickém jazyce

Prediction of Steel Atmospheric Corrosion by Means of Artificial Intelligence Methods.

Popis výsledku anglicky

Atmospheric corrosion of metal materials exposed under atmospheric conditions depends on various factors such as local temperature, relative humidity, amount of precipitation, pH of rainfall, concentration of main pollutants and exposition time. As thesefactors are very complex, exact relation for mathematical description of atmospheric corrosion of various metals are not known so far. Classical analytical and mathematical functions are of limited use to describe this type of strongly non-linear systemdepending on various meteorological-chemical factors and interaction between them and on material parameters. Nowadays there is certain chance to predict a corrosion loss of materials by artificial intelligence methods. The contribution deals with the use of artificial neural networks for prediction of steel atmospheric corrosion.

Druh

D - Stať ve sborníku

CEP obor

JG - Hutnictví, kovové materiály

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

20th Anniversary International Conference on Metallurgy and Materials: METAL 2011

ISBN

978-80-87294-24-6

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

1201-1205

Název nakladatele

Tanger

Místo vydání

Ostrava

Místo konání akce

Brno

Datum konání akce

18. 5. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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