Data Science in Metal Forming provides readers with a framework to collect, visualize, analyze, and characterize metal forming metadata enabling improved design, more efficient production, and more effective application of a range of metals. The first two chapters of the book provide an introduction to the concepts to be covered, including various metal forming technologies, industry 4.0, digital manufacturing, and more. The next chapter features case studies of metal forming data collection spanning several essential procedures and includes data preprocessing and processing methods as well as data management techniques. The following chapters outline methods for data processing when lacking essential information, data visualization techniques, insight into how to analyze data from various metal forming processes (stamping, hydroforming, incremental, extrusion, and more), and the book concludes with 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, leading to 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