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Data Science in Metal Forming

  • 1st Edition - July 28, 2025
  • Authors: Li-Liang Wang, Heli Liu
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 4 4 3 - 2 9 1 4 5 - 6
  • eBook ISBN:
    9 7 8 - 0 - 4 4 3 - 2 9 1 4 6 - 3

Data Science in Metal Forming provides readers with a framework to collect, visualize, analyze, and characterize metal forming metadata, thus enabling improved design, more effici… Read more

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Elsevier academics book covers
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.

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