Open Access Original Research

Automated Quality and Process Control for Additive Manufacturing using Deep Convolutional Neural Networks

Received: 24 November 2021;  Published: 28 February 2022;  doi: 10.21926/rpm.2201005


Additive Manufacturing (AM) is a crucial component of the smart manufacturing industry. In this paper, we propose an automated quality grading system for the fused deposition modeling (FDM) process as one of the major AM processes using a developed real-time deep convolutional neural network (CNN) model. The CNN model is trained [...]