| Abstract Scope |
While qualification is the end user prerogative, metal additive manufacturing (AM), in its current state, does present unique challenges that open up room for ICME (Integrated Computational Materials Engineering) tools. Finding the right set of parameters for a particular combination of feedstock, final geometry, AM platform, and other design requirements is still an iterative process. Currently, a suite of ICME tools in conjunction with in-situ process monitoring supported by artificial intelligence (AI) tools provides a range of opportunities. This talk will focus on the Wire feed Direct Energy Deposition AM process, applied to Ti-6Al-4V, for which we employed a host of modeling and simulation tools, along with in-situ process monitoring, to accelerate the qualification process. This includes, but is not limited to, thermodynamics & kinetics based microstructure evolution models, reduced order thermal models, constitutive models to predict mechanical properties, etc. |