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Multiscale Modeling of Additively Manufactured Metals. Additive Manufacturing Materials and Technologies

  • ID: 5007929
  • Book
  • June 2020
  • 250 Pages
  • Elsevier Science and Technology
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Multiscale Modeling of Additively Manufactured Metals: Application to Laser Powder Bed Fusion Process provides comprehensive coverage on the latest methodology in additive manufacturing (AM) modeling and simulation. Although there are extensive advances within the AM field, challenges to predictive theoretical and computational approaches still hinder the widespread adoption of AM. The book reviews metal additive materials and processes and discusses multiscale/multiphysics modeling strategies. In addition, coverage of modeling and simulation of AM process in order to understand the process-structure-property relationship is reviewed, along with the modeling of morphology evolution, phase transformation, and defect formation in AM parts.

Residual stress, distortion, plasticity/damage in AM parts are also considered, with scales associated with the spatial, temporal and/or material domains reviewed. This book is useful for graduate students, engineers and professionals working on AM materials, equipment, process, development and modeling.

  • Includes the fundamental principles of additive manufacturing modeling techniques
  • Presents various modeling tools/software for AM modeling
  • Discusses various design methods and how to optimize the AM process using these models

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  1. Multiscale and multiphysics modeling of metal AM
  2. Metal AM materials and processes
  3. Molecular dynamics modeling of sintering phenomena and mechanical strength of metal particles
  4. Kinetic Monte Carlo simulation of sintering behavior of AM particles using reconstructed microstructures from synchrotron X-ray microtomography
  5. Discrete element modeling of powder flow and laser heating in metal laser powder bed fusion process
  6. Finite element simulation of residual stress in AM metals
  7. Computational fluid dynamics and cellular automata modeling of microstructure in metal AM parts
  8. Phase field modeling of microstructure evolution in selective laser melting-manufactured titanium alloy
  9. Finite element modeling of impact properties
  10. Finite element modeling of fatigue properties
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Zhang, Yi
Yi Zhang, Ph.D. is an Applications Engineer with Ansys, Inc. He received his Ph.D. degree in Mechanical Engineering from Purdue University in 2018, mentored by Dr. Jing Zhang.
Jung, Yeon-Gil
Dr. Yeon-Gil Jung is a professor of Materials Science and Engineering at Changwon National University, Republic of Korea. He received his B.S, M.S, and Ph.D. degrees from Hanyang University, Republic of Korea. After that, he studied material property evaluation using Hertzian Indentation at NIST (National Institute Standard and Technology) with Dr. Brian Lawn during 1997-1999. He joined Changwon National University in 1999. He has been a visiting scholar and research professor 2013 - 2017 at Indiana University - Purdue University Indianapolis.
Zhang, Jing
Jing Zhang is an associate professor of Mechanical and Energy Engineering at Indiana University - Purdue University Indianapolis, USA. He received his Ph.D. degree in Materials Science from Drexel University in 2004. In the Standardization Roadmap for Additive Manufacturing (Version 2.0) published by the America Makes and the American National Standards Institute (ANSI), he served as the co-chair of Post-Processing Working Group.
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