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 Jul 2024, 2024

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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. 278 pp. Englisch.

Seller Inventory # 9783731513520

Bibliographic Details

• Title: Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction
• Publisher: Karlsruher Institut Für Technologie Jul 2024
• 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

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.