Bayesian inverse uncertainty quantification of a MOOSE-based melt pool model for additive manufacturing using experimental data
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DOI: 10.1016/j.anucene.2021.108782
Abstract: Additive manufacturing (AM) technology is being increasingly adopted in a wide variety of application areas due to its ability to rapidly produce, prototype, and customize designs. AM techniques afford significant opportunities in regard to nuclear… read more here.
Keywords: uncertainty; pool model; melt pool; bayesian inverse ... See more keywords