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    • Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

    Yannick Lingelbach

    Band 119 von Schriftenreihe des Instituts für Angewandte Materialien, Karlsruher Institut für Technologie
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    This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as material, production line, and quality assessment for preprocessing, feature extraction, and drift corrections. Machine learning is employed to devise robust prediction strategies for hardness. Its implementation in an industry pilot demonstrates the economic benefits of the framework.

    Umfang: XXIII, 235 S.

    Preis: 45.00 €

    Fächer:

    Maschinenbau und Verfahrenstechnik 

    Schlagwörter:

    Data Mining Case Hardening Bainitizing Industrial Heattreatment Machine Learning Datenanalyse Einsatzhärten Bainitisieren Industrielle Wärmebehandlung Maschinelles Lernen

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    Empfohlene Zitierweise
    Lingelbach, Y. 2024. Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000169018
    Lingelbach, Y., 2024. Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000169018
    Lingelbach, Y. Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction. KIT Scientific Publishing, 2024. DOI: https://doi.org/10.5445/KSP/1000169018
    Lingelbach, Y. (2024). Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000169018
    Lingelbach, Yannick. 2024. Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000169018



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    Veröffentlicht am 24. Juli 2024

    Sprache

    Englisch

    Seitenanzahl:

    278

    ISBN
    Paperback 978-3-7315-1352-0

    DOI
    https://doi.org/10.5445/KSP/1000169018