William Mendes de Farias

Gaussian process regression for optimizing L-DED processing parameters in AlSi10Mg additive manufacturing

Abstract This work presents an experimental workflow coupled with statistical tools to optimize L-DED processing parameters to build defect-free AlSi10Mg multilayer parts. Experimental steps included the quantitative evaluation of single beads, single layers, and multilayers to d...