#16. Modeling and Experimental Measurements for Metal Additive Manufacturing


  • J. Belak, Lawrence Livermore National Laboratory, USA
  • D. Brown, Los Alamos National Laboratory, USA
  • A. Lew, Stanford University, USA
  • L. E. Levine, National Institute of Standards and Technology, USA(lyle.levine@nist.gov)
  • J. G. Michopoulos, Naval Research Laboratory, USA (john.michopoulos@nrl.navy.mil)
  • J. Turner, Oak Ridge National Laboratory, USA
  • G. Wagner, Northwestern University, USA
  • T. Zohdi, University of California Berkeley, USA


Additive manufacturing (AM) has gained increasing popularity, owing to the creation of processes and systems that extend its benefits to traditional engineering materials. One of the main benefits of AM is its intrinsic ability to create parts with features spanning multiple length scales in a manner that was not possible via traditional manufacturing processes. However, the excitement surrounding AM has been tempered by significant difficulties, including undesirable residual stresses, microstructures, defects, induced porosity, and surface roughness as well as the challenge of maintaining dimensional stability. Computational modeling is becoming a significant tool in addressing these challenges. Similarly, experimental measurements are critical both for guiding the development of relevant models and validating them. Close interaction between modeling and measurement efforts is needed. This extends from the behavior of the melt pool and the surrounding material to the functional behavior of components (mechanical, thermal, cyclic, corrosion, etc.), after post-build processing and in service.

This symposium aims to bring together a broad range of AM modeling and experimental measurement researchers to exchange information and views on what models and measurements are most needed and to bring these often-disparate communities together. Presentations regarding modeling, experimental measurements, and their integration for all relevant metal AM processes (e.g., directed energy deposition, selective laser sintering/melting, electron beam melting, binder jetting, electron-beam freeform, etc.) are welcomed.

Topics of interest to this symposium include, but are not limited to, the following:
• Residual fields (stresses, strains, deformations) and surface topology
• Microstructure development and evolution during AM and postprocessing
• Defects, porosity, texture, and surface roughness
• Part distortion compensation
• Continuum and discrete analytical and numerical multiphysics methods for modeling the AM processes and the performance of the virtual “as-produced” parts
• Modeling strategies and methods for representing the inherently multiscale nature of the problem, including the spatial, temporal, and/or material domains
• Novel material systems
• Coupled process-part optimization for design of functionally tailored and lightweight parts
• Integration of feedback and/or feedforward control methods and process maps for minimizing the presence of undesirable features such as defects and residual stresses in as-built parts
• AM-optimized alloy design
• Application of AM to smart materials, sensors, and nano-devices

Confirmed Keynote Speakers

• Evgeniya Kabliman (Technical University of Munich, Germany)
• Li Ma (Johns Hopkins University Applied Physics Laboratory, United States)
• Matt Rolchigo (Oak Ridge National Laboratory, United States)