Computational Metal Additive Manufacturing

Advanced Multiphysics and AI-Enhanced Simulation
Erscheinungsjahr 2027
ISBN: 978-3-032-46653-2
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: The Minerals, Metals & Materials Series

This book presents a comprehensive and forward-looking approach to computational modeling in metal additive manufacturing (AM), focusing on the integration of advanced multiphysics simulations with artificial intelligence (AI) techniques. It is designed to serve as a foundational and practical reference textbook for students, researchers, and industry professionals engaged in digital manufacturing, process optimization, and predictive modeling within the context of metal additive manufacturing (AM). The book bridges the gap between theoretical computational modeling and real-world manufacturing challenges by providing the reader with a deep understanding of how to simulate, predict, and enhance complex metal AM processes such as Powder Bed Fusion (PBF), Directed Energy Deposition (DED), binder jet, Electrochemical Metal AM (ECAM) and a few non common metal AM methods. It emphasizes modeling the thermomechanical behavior, residual stress evolution, microstructural transformations (grain morphology and phase fraction), melt-pool dynamics, and performance prediction (e.g. fatigue life prediction) of printed metal parts using analytical models, numerical methods (like finite element (FE), finite difference (FD), meshless, and finite volume (FV) methods), mesoscale methods (like phase-field (PF), and stochastic methods), computational thermodynamics, and AI-assisted hybrid models, including Physics-Informed Neural Networks (PINNs) and Convolutional Neural Networks (CNNs)."

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Hosseinzadeh, Hamed

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Fundamentals of Metal Additive Manufacturing and Process Methods.- Constitutive Models, Governing Equations, and Numerical Methods.- Fundamentals of Artificial Intelligence and Machine Learning.- Multiphysics and Thermomechanical Simulation in Metal AM.- AI Applications in Metal Additive Manufacturing.- AI-Enhanced Physics-Based Simulation and Digital Manufacturing.- Practical Case Studies in Aerospace, Automotive, and Biomedical AM.

Über Autor(innen)

Dr. Hamed Hosseinzadeh is a Lecturer in the Department of Mechanical and Industrial Engineering at the University of Wisconsin–Platteville. He is also the Founder, President, and Technology Strategist of the Computational Technology Project (CTP) and Manufacturing Technology Project (MTP), where his work focuses on computational engineering, multiphysics simulation, artificial intelligence, digital twins, and advanced engineering technologies. He is also Co-Founder, CEO, and Chief Computational Technology Officer of Computational Medicine LLC. His research and technology development span computational mechanics, physics-based simulation, AI-enabled engineering, additive manufacturing, and emerging computational technologies.