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In-situ Droplet Monitoring of Inkjet 3D Printing Process using Image Analysis and Machine Learning Models
2021
Procedia Manufacturing
Additive manufacturing (AM) has yielded major innovations in the electronics, biomedical and energy domains. One of the AM techniques which has witnessed widespread use is the inkjet 3D printing (IJP). The IJP process fabricates parts by depositing colloidal liquid droplets on substrates. Despite its advantages, variations in input process parameters and fluid properties can have a profound impact on the print quality. This paper aims to address this issue by presenting a novel vision-based
doi:10.1016/j.promfg.2021.06.045
fatcat:uwy3sttmajaanh7uih7kw2rcei