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

Yannick Lingelbach

ISBN 10: 3731513528 / ISBN 13: 9783731513520

Published by Karlsruher Institut für Technologie, 2024

About this Item

Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction | Yannick Lingelbach | Taschenbuch | Englisch | 2024 | Karlsruher Institut für Technologie | EAN 9783731513520 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 129705145

Bibliographic Details

• Title: Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction
• Publisher: Karlsruher Institut für Technologie
• Publication Date: 2024
• Language: English
• ISBN 10: 3731513528
• ISBN 13: 9783731513520
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 18D millimeters 210 millimeters width by 148 millimeters height by 18 millimeters depth
• Weight: 407 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.