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