... profile; convolutional neural network (CNN) was used in Zhang et al. [ 6 ] for predicting AM part porosity from the thermal images of melt pool; a convolutional-artificial NN model was developed in Francis and Bian [ 7 ] for predicting AM part distortion. Janssens et al. [ 8 ] deployed CNN on lab...

... ensemble convolutional neural network (PECNN) to efficiently detect voids and predict the texture of CT images using layer-wise optical images. The proposed PECNN can efficiently extract informative features based on the ensemble of the multiscale feature-maps (i.e., image pyramid) from optical images...

...Wu Chengyang; Xiang Sitong; Xiang Wansheng Rotary axes are the key components for five-axis computerized numerical control machines, while their motions are dramatically influenced by thermal issues. To precisely model the thermal error of rotary axis, a convolutional neural network (CNN) model...