Data Science in Metal Forming

Li-Liang Wang, Heli Liu (Autoren)

Buch | Softcover

366 Seiten

2025
Elsevier - Health Sciences Division (Verlag)
978-0-443-29145-6 (ISBN)

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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.

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.

1. Introduction to Data Science in Metal Forming
2. Review of Advanced Metal Forming Technologies
3. Metal Forming Metadata
4. Information Absent Metal Forming Data Processing
5. Digital Characteristics of Data Science in Metal Forming
6. Developing and analyzing Digital Characteristics of forming processes
7. Digital Characteristics Space of manufacturing processes
8. Applications of Data Science in Metal Forming

Erscheinungsdatum	03.07.2025
Verlagsort	Philadelphia
Sprache	englisch
Maße	152 x 229 mm
Gewicht	1000 g
Themenwelt	Technik
ISBN-10	0-443-29145-4 / 0443291454
ISBN-13	978-0-443-29145-6 / 9780443291456
Zustand	Neuware