Data Science in Metal Forming
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Product details:
- Publisher Elsevier
- Date of Publication 28 July 2025
- ISBN 9780443291456
- Binding Paperback
- No. of pages366 pages
- Size 229x152 mm
- Language English 690
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.
- Demonstrates effective data collection processes for metal forming
- Outlines how to visualize, process, analyze, and characterize this data, with a goal of better design, production, and application of various metals
- Discusses how to process and characterize information where there are missing data elements
- Provides guidance on how to setup and effectively manage metal forming 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
