Abstract
- Metal additive manufacturing processes are generally governed by a complex interaction of many process parameters, from those connected with the energy source, to those concerning the processed material. Therefore, making decisions and deducing control actions require considering different sources of uncertainty, both aleatoric, e.g. due to the process variability, and epistemic, e.g. due to the inability to describe accurately the physics of the process. The proposed fuzzy-based decision-making approach overcomes this difficulty as it incorporates imperfect information into a decision model for metal additive manufacturing optimization by taking into account both the random and the systematic errors.