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

Yannick Lingelbach

ISBN 10: 3731513528 / ISBN 13: 9783731513520

Editore: Karlsruher Institut Für Technologie Jul 2024, 2024

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This item is printed on demand - it takes 3-4 days longer - Neuware 278 pp. Englisch.

Codice articolo 9783731513520

Dati bibliografici

• Titolo: Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction
• Editore: Karlsruher Institut Für Technologie Jul 2024
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 3731513528
• ISBN 13: 9783731513520
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 210 L x 148 A x 18 P (millimetri) 210 millimetri di larghezza per 148 millimetri di altezza per 18 millimetri di profondità
• Peso: 407 grammi

Descrizione articolo

Riassunto

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.