Data‐informed uncertainty quantification for laser‐based powder bed fusion additive manufacturing
Mihaela Chiappetta,
Chiara Piazzola,
Lorenzo Tamellini
et al.
Abstract:We present an efficient approach to quantify the uncertainties associated with the numerical simulations of the laser‐based powder bed fusion of metals processes. Our study focuses on a thermomechanical model of an Inconel 625 cantilever beam, based on the AMBench2018‐01 benchmark proposed by the National Institute of Standards and Technology (NIST). The proposed approach consists of a forward uncertainty quantification analysis of the residual strains of the cantilever beam given the uncertainty in some of th… Show more
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