Bull Sas

Daniel Campillo Garrote

Enrique Garcia Albert

It is disclosed a method and a predicting system for automatic prediction of porosity appearance generated during Laser Powder Bed Fusion (L-PBF), performed by an additive manufacturing system from at least one material. The method comprises steps for training a neural network comprising: generating labels of pore in every pixel using a porosity simulator; pre-training, comprising a first sub-step and a second sub-step, the second sub-step comprises using the data set created from the first sub-step to generate a pre-trained ML model; and training, comprising a first sub-step and a second sub-step, the second sub-step comprises using the data set created from the first sub-step to train the pre-trained ML model to generate a trained ML model.

Growing community of inventors

Móstoles, Spain

Daniel Campillo Garrote