Data Science in Metal Forming
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100 955 Ft (96 147 Ft + 5% VAT)
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100 955 Ft
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Product details:
- Publisher Elsevier
- Date of Publication 1 July 2025
- ISBN 9780443291456
- Binding Paperback
- No. of pages300 pages
- Size 228x152 mm
- Language English 700
Categories
Long description:
Data Science in Metal Forming provides readers with a framework to collect, visualize, analyze, and characterize metal forming metadata, thus enabling improved design, more efficient production, and more effective application of a range of metals. Chapters introduce concepts and discuss industry 4.0, digital manufacturing, and more. Other sections feature case studies of metal forming data collection spanning several essential procedures and outline methods for data processing when lacking essential information.
The book also includes data visualization techniques, insights into how to analyze data from various metal forming processes (stamping, hydroforming, incremental, extrusion, and more) and details on how readers can setup, manage, and most effectively apply their own data repositories.
Table of Contents:
1. Introduction to Data Science in Metal Forming
2. Review of Advanced Metal Forming Technologies
3. Metal Forming Metadata
4. Information Absent Metal Forming Data Processing
5. Digital Characteristics of Data Science in Metal Forming
6. Developing and analyzing Digital Characteristics of forming processes
7. Digital Characteristics Space of manufacturing processes
8. Applications of Data Science in Metal Forming
