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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20500 - Materials engineering

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    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

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    Tanger

  • Place of publication

    Ostrava

  • Event location

    Brno

  • Event date

    May 17, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article