Data Science in Metal Forming (Paperback) (ISBN-13: 9780443291456)

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.

Author: Li-Liang Wang, Heli Liu
ISBN-10: 0443291454
ISBN-13: 9780443291456
Publisher: Elsevier
Language: English
Published: 07/01/2025
Pages: 300
Format: Paperback