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About this item
Highlights
- 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.
- Author(s): Li-Liang Wang & Heli Liu
- 300 Pages
- Technology, Materials Science
Description
Book Synopsis
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.Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W)
Suggested Age: 22 Years and Up
Number of Pages: 300
Genre: Technology
Sub-Genre: Materials Science
Publisher: Elsevier
Theme: General
Format: Paperback
Author: Li-Liang Wang & Heli Liu
Language: English
Street Date: July 1, 2025
TCIN: 1001846121
UPC: 9780443291456
Item Number (DPCI): 247-12-5521
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 1 inches length x 6 inches width x 9 inches height
Estimated ship weight: 1 pounds
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