Bian / Usher / Shamsaei Laser-Based Additive Manufacturing of Metal Parts

Modeling, Optimization, and Control of Mechanical Properties
1. Auflage 2017
ISBN: 978-1-4987-3999-3
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 342 Seiten

Reihe: Advanced and Additive Manufacturing Series

Laser-Based Additive Manufacturing (LBAM) technologies, hailed by some as the "third industrial revolution," can increase product performance, while reducing time-to-market and manufacturing costs. This book is a comprehensive look at new technologies in LBAM of metal parts, covering topics such as mechanical properties, microstructural features, thermal behavior and solidification, process parameters, optimization and control, uncertainty quantification, and more. The book is aimed at addressing the needs of a diverse cross-section of engineers and professionals.

Autoren/Hrsg.

Bian, Linkan

Usher, John

Shamsaei, Nima

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftswissenschaften Wirtschaftswissenschaften: Allgemeines
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau

Inhaltsverzeichnis

Introduction and Background. Introduction to Laser-Based Additive Manufacturing Technologies. Recent Advances in laser-Based Additive Manufacturing. Process Fundamentals and the Mechanical Properties of Manufactured Parts. Microstructural and Mechanical Properties. Fatigue Behavior. Post Manufacturing Treatments. Laser Power Transfer and Thermal Monitoring. Summary of Process and Part Characterization. Design, Optimization, and Control. Part CAD. Process Optimization. Process Control. Uncertainty Qualification. Summary of Design Optimization and Control. Advanced Topics. Functionally Graded Materials. Applications of Additive Manufacturing.

Über Autor(innen)

Dr. Linkan Bian is an Assistant Professor in Industrial and Systems Engineering Department at Mississippi State University (MSU). He received his Ph.D. in Industrial and Systems Engineering from Georgia Institute of Technology in 2013. He also holds a dual M.S. degree in Statistics and Mathematics from Michigan State University, and a B.S. degree in Applied Mathematics from Beijing University. Dr. Bian’s research interests focus on the combination of advanced statistics and stochastic methods for system modeling, diagnosis, and optimization. Applications of his research include advanced manufacturing systems and supply chains. He is currently participating in a DoD project focusing on uncertainty quantification and process optimization in Additive Manufacturing