Additive Manufacturing with Metals: Design, Processes, Materials, Quality Assurance, and Applications
Autor Sanjay Joshi, Richard P. Martukanitz, Abdalla R. Nassar, Pan Michalerisen Limba Engleză Hardback – 28 noi 2023
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Specificații
ISBN-13: 9783031370687
ISBN-10: 3031370686
Pagini: 660
Ilustrații: XVIII, 660 p. 465 illus., 334 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.25 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3031370686
Pagini: 660
Ilustrații: XVIII, 660 p. 465 illus., 334 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.25 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
Chapter 1. Introduction to Metal Additive Manufacturing.- Chapter 2. Digital Processing Workflow for AM.- Chapter 3. Metal Additive Manufacturing Processes – Laser and Electron Beam Powder Bed Fusion.- Chapter 4. Metal Additive Manufacturing Processes – Directed Energy Deposition Processes.- Chapter 5. Metal Additive Manufacturing Processes – Jetting and Extrusion Based Processes.- Chapter 6. Deformation based AM and Hybrid AM Processes.- Chapter 7. Design for Additive Manufacturing & Cost and Economics of AM.- Chapter 8. Energy sources & Propagation.- Chapter 9. Source Material Interactions.- Chapter 10. Feedstock delivery and dynamics.- Chapter 11. Mechanical response.- Chapter 12. Analytical models.- Chapter 13. Alloy Systems for Additive Manufacturing.- Chapter 14. Metallic Feedstock.- Chapter 15. Solidification During Additive Manufacturing.- Chapter 16. Solid State Transformations and Gas Reactions During the Additive Manufacturing Process.- Chapter 17. Modeling the Microstructure for Additive Manufacturing.- Chapter 18. Multiple Alloy Processing.- Chapter 19. Post Processing.- Chapter 20. Properties and Characteristics of Metallic Materials Produced Using Additive Manufacturing.- Chapter 21. Process Quality and Reliability.
Notă biografică
Dr. Sanjay Joshi is Professor of Industrial and Manufacturing Engineering at Penn State University. His research and teaching interests are in the areas of Computer Aided Design and Manufacturing (CAD/CAM) with specific focus on Additive Manufacturing, Computer Aided Process Planning, and Manufacturing Systems Design and Analysis. He has been involved in actively teaching AM at the graduate and undergraduate level for over 20 years. He has been on the faculty for 36 years, and has received several national and international research awards.
Dr. Richard Martukanitz is Professor of Material Science and Engineering at the University of Virginia and former Fellow of Virginia’s Commonwealth Center for Advanced Manufacturing (CCAM). Prior to joining the University of Virginia, Dr. Martukanitz served as Director of the Pennsylvania State University’s Center for Innovative Materials Processing through Direct Digital Deposition (CIMP-3D) and Head of the Laser Processing Division at Penn State’s Applied Research Laboratory. He has over 40-years of experience in developing and applying laser-based additive manufacturing techniques for metallic systems.
Dr. Abdalla R Nassar is the Enterprise Additive Manufacturing (AM) Lead for John Deere, where leads AM strategy development, R&D, and servers and the subject matter expert for the global organization. Prior to this role, he served as an Associate Research Professor and Head of the Process Physics, Analytics, and Engineering Department within the Materials Science Division of the Applied Research Laboratory (ARL) at the Pennsylvania State University. At Penn State, he developed and taught courses on Engineering and Scientific Principles of Additive Manufacturing and Laser-Materials Interactions at the graduate level.
Dr. Pan Michaleris is the founder and CEO of PanOptimization LLC. In 2012, he founded Pan Computing LLC which was acquired by Autodesk in 2016. The additive manufacturing process simulation software CUBES developed by Pan Computing was commercialized as Netfabb Simulation. Dr. Michaleris became Sr. Software Architect at Autodesk and supervised the development of additive manufacturing simulation software until 2021. He has over 30 years of experience in high performance computing and thermo-mechanical process modeling such as additive manufacturing, welding and thermal forming. He has a Ph.D. in Theoretical and Applied Mechanics from the University of Illinois at Champaign-Urbana, and has worked as a senior research engineer at Edison Welding Institute (EWI) from 1994 to 1997, and as professor at the Department of Mechanical and Nuclear Engineering of The Pennsylvania State University from 1997 to 2016.
Dr. Richard Martukanitz is Professor of Material Science and Engineering at the University of Virginia and former Fellow of Virginia’s Commonwealth Center for Advanced Manufacturing (CCAM). Prior to joining the University of Virginia, Dr. Martukanitz served as Director of the Pennsylvania State University’s Center for Innovative Materials Processing through Direct Digital Deposition (CIMP-3D) and Head of the Laser Processing Division at Penn State’s Applied Research Laboratory. He has over 40-years of experience in developing and applying laser-based additive manufacturing techniques for metallic systems.
Dr. Abdalla R Nassar is the Enterprise Additive Manufacturing (AM) Lead for John Deere, where leads AM strategy development, R&D, and servers and the subject matter expert for the global organization. Prior to this role, he served as an Associate Research Professor and Head of the Process Physics, Analytics, and Engineering Department within the Materials Science Division of the Applied Research Laboratory (ARL) at the Pennsylvania State University. At Penn State, he developed and taught courses on Engineering and Scientific Principles of Additive Manufacturing and Laser-Materials Interactions at the graduate level.
Dr. Pan Michaleris is the founder and CEO of PanOptimization LLC. In 2012, he founded Pan Computing LLC which was acquired by Autodesk in 2016. The additive manufacturing process simulation software CUBES developed by Pan Computing was commercialized as Netfabb Simulation. Dr. Michaleris became Sr. Software Architect at Autodesk and supervised the development of additive manufacturing simulation software until 2021. He has over 30 years of experience in high performance computing and thermo-mechanical process modeling such as additive manufacturing, welding and thermal forming. He has a Ph.D. in Theoretical and Applied Mechanics from the University of Illinois at Champaign-Urbana, and has worked as a senior research engineer at Edison Welding Institute (EWI) from 1994 to 1997, and as professor at the Department of Mechanical and Nuclear Engineering of The Pennsylvania State University from 1997 to 2016.
Textul de pe ultima copertă
This textbook and reference provides a comprehensive treatment of additive manufacturing (AM) for metals, including design and digital work flows, process science and reliability, metallic systems, quality assurance, and applications. The book is rooted in the fundamental science necessary to develop and understand AM technologies, as well as the application of engineering principles covering several disciplines to successfully exploit this important technology. As additive manufacturing of metals is the fastest growing subset of this transformative technology, with the potential to make the widest impact to industrial production, Metals Additive Manufacturing: Design, Processes, Materials, Quality Assurance, and Applications is ideal for students in a range of engineering disciplines and practitioners working in aerospace, automotive, medical device manufacturing industries.
- Adopts an integrated treatment of topics underscoring relationships across disciplines;
- Emphasizes the science of AM and the application of fundamental science to maximize understanding of the defining mechanisms;
- Structured to facilitate knowledge acquisition and retention.
Caracteristici
Adopts an integrated treatment of topics underscoring relationships across disciplines Emphasizes the science of AM and application of fundamental science to maximize understanding of the defining mechanisms Structured to facilitate knowledge acquisition and retention