Mario Martinez, Sandia National Laboratories
Wenda Tan, University of Utah
Additive Manufacturing (AM) is a potentially disruptive manufacturing technology which simultaneously creates build material and parts while offering the possibility to monitor and control the manufacturing process at the voxel level. To achieve the promise of AM, multiple technical challenges must be addressed, including part variability, dimensional tolerances, surface roughness, microstructure, and defects. The integration of computational models in AM opens up the possibility that scientific computing can play a significant role in fundamental understanding, control, and design of laser-based additive manufacturing processes. This symposium invites researchers to present their latest results for modeling multiscale, multiphase thermofluid dynamics associated with laser energy coupling, melting and vaporization, melt pool dynamics, spatter, defect formation, and microstructure evolution from rapid solidification and remelting. All discretization methods (e.g. finite element, finite volume, particle methods, mesh-free, Lattice Boltzmann, etc.) are welcome. Experimental model validation (e.g. in-situ monitoring) and uncertainty quantification are encouraged.