DESIGNING OF NUMERICAL MODEL APPLICATION TO PREDICT FINAL HYDROGEN CONTENT AT END OF VACUUM DEGASSING TREATMENT

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F23%3A10254531" target="_blank" >RIV/61989100:27360/23:10254531 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.confer.cz/metal/2023?page=2" target="_blank" >https://www.confer.cz/metal/2023?page=2</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

DESIGNING OF NUMERICAL MODEL APPLICATION TO PREDICT FINAL HYDROGEN CONTENT AT END OF VACUUM DEGASSING TREATMENT

Popis výsledku v původním jazyce

The main topic discussed in this work is the reduction of hydrogen content in high grades of steel for the production of seamless pipes using processes of secondary metallurgy and vacuum degassing. The aim of thispaper is the statistical analysis of operational data with a follow-up to the preparation of a statistical model for calculating the final hydrogen content in steel after processing in a vacuum. The preparation of the model consisted in the analysis of operating conditions from available production data, statistical evaluation of individual input parameters and their mutual dependence and impact on melt processing. From the results of the analytical part, the necessary inputs for the preparation of a prediction model were obtained, which enables the simulation of the resulting values of the final hydrogen content in the melting on the key&apos;s input parameters defined by the analysis. The result of the predictive statistical model is the approximate expected final hydrogen content, including the values of the other variables that enter into the process.

Název v anglickém jazyce

DESIGNING OF NUMERICAL MODEL APPLICATION TO PREDICT FINAL HYDROGEN CONTENT AT END OF VACUUM DEGASSING TREATMENT

Popis výsledku anglicky

The main topic discussed in this work is the reduction of hydrogen content in high grades of steel for the production of seamless pipes using processes of secondary metallurgy and vacuum degassing. The aim of thispaper is the statistical analysis of operational data with a follow-up to the preparation of a statistical model for calculating the final hydrogen content in steel after processing in a vacuum. The preparation of the model consisted in the analysis of operating conditions from available production data, statistical evaluation of individual input parameters and their mutual dependence and impact on melt processing. From the results of the analytical part, the necessary inputs for the preparation of a prediction model were obtained, which enables the simulation of the resulting values of the final hydrogen content in the melting on the key&apos;s input parameters defined by the analysis. The result of the predictive statistical model is the approximate expected final hydrogen content, including the values of the other variables that enter into the process.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20500 - Materials engineering

Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

METAL 2023 : 32nd International Conference on Metallurgy and Materials : conference proceedings : May 17–19, 2023, OREA Congress Hotel Brno, Czech Republic, EU

ISBN

978-80-88365-12-9

ISSN

2694-9296

e-ISSN

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Počet stran výsledku

6

Strana od-do

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Název nakladatele

Tanger

Místo vydání

Ostrava

Místo konání akce

Brno

Datum konání akce

17. 5. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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