Towards industry-ready additive manufacturing: AI-enabled closed-loop control for 3D melt electrowriting.

ABSTRACT: Melt electrowriting (MEW) is an emerging high-resolution 3D printing technology used in biomedical engineering, regenerative medicine, and soft robotics. Its transition from academia to industry faces challenges such as slow experimentation, low printing throughput, poor reproducibility, and user-dependent operation, largely due to the nonlinear and multiparametric nature of the MEW process. To address these challenges, we applied computer vision and machine learning to monitor and analyze the process in real-time through imaging of the MEW jet between the nozzle-collector gap. To collect data for training we developed an automated data collection methodology that eases the experimental time from days to hours. A feedforward neural network, working in concert with optimization methods and

SUBMITTER: Mieszczanek P 

PROVIDER: S-EPMC11538274 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature