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

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 c...

Descrizione completa

Dettagli Bibliografici

Autore principale:	Lingelbach, Yannick
Natura:	Online
Lingua:	inglese
Pubblicazione:	KIT Scientific Publishing 2024
Soggetti:	Data Mining; Case Hardening; Bainitizing; Industrial Heattreatment; Machine Learning; Datenanalyse; Einsatzhärten; Bainitisieren; Industrielle Wärmebehandlung; Maschinelles Lernen thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
Accesso online:	https://library.oapen.org/handle/20.500.12657/92444
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!