Overview
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.
Full Product Details
Author: Li-Liang Wang (Department of Mechanical Engineering, Imperial College, South Kensington, London, UK) ,
Heli Liu (Department of Mechanical Engineering, Imperial College, South Kensington, London, UK)
Publisher: Elsevier - Health Sciences Division
Imprint: Elsevier - Health Sciences Division
ISBN: 9780443291456
ISBN 10: 0443291454
Pages: 300
Publication Date: 01 July 2025
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Author Information
Li-Liang Wang is Head of the Metal Forming and Modeling Group in the Department of Mechanical Engineering, Imperial College. He received his PhD degree from Delft University of Technology. He joined Imperial College in 2009. Dr Wang’s major research interests include the design and development of advanced metal forming technologies and manufacturing system. His work has made fundamental contributions to characterization and modelling of materials and interfacial behaviors of engineering materials. Particularly, Dr Wang’s research has direct impacts on sustainable manufacturing, e.g., Hot stamping of Aluminum alloy (International Journal of Machine Tools and Manufacture 87, 39-48); Data sciences in metal forming (Nat. Commun., 2022, 13: 5748,); novel lightweight forming technology: FAST (Int. J. Plast., 2019, 119: 230-248); Tribology in metal forming (Friction 10 (6), 911-926) and innovative material characterization techniques (Addit. Manuf. 2021, 37: 101720). Heli Liu currently works as a research assistant in the Department of Mechanical Engineering, Imperial College London. His areas of focus are data science in manufacturing, information design, metal forming, anti-fatigue analysis, and tribology.
