Modeling and Simulation of 3D Printing and Additive Manufacturing

Albert To, University of Pittsburgh
Lars-Erik Lindgren, Luleå University of Technology
Shaofan Li, University of California at Berkeley
Wing Kam Liu, Northwestern University
Mesut Kirca, Istanbul Technical University
Jay Oswald, Arizona State University
Dong Qian, University of Texas at Dallas
Jeong-Hoon Song, University of Colorado at Boulder

Various 3D printing (also called additive manufacturing) techniques have been developed to manufacture complex-shaped components with well-controlled precision.  The sophisticated 3D printing techniques often require systematic modeling and simulation effort during the design stage. The main objective of this minisymposium is to provide a platform to discuss recently developed modeling and simulation techniques of 3D printing and additive manufacturing.  The topics include (but are not limited to):
•    Simulation of the manufacturing process to predict residual stress/distortion, surface topology, and microstructure including defects;

•    Computational methods for correcting part distortion;

•    Modeling of materials considering effects of printing direction and microstructure

•    Topology optimization for achieving lightweight additively manufactured structures;

•    Modeling and simulation of 3d printing tissue engineering scaffold;

•    Modeling of bioinspired composites and bi-material joints;

•    Feedback control methods and process maps for minimizing defects and residual stress in as-built structures;

•    Simulation of the manufacturing process for smart materials, sensors, and nano-devices;

•    Integration of modeling with process design.

Typically, computational modeling and simulation for any 3D printing processes (e.g. laser sintering/melting, electron beam melting, form deposition modeling, steoreolithography, binder jetting) and materials (e.g. metals, plastics, ceramics and their composites as well as biological materials) are welcome.