Dataset of numerically-generated interfaces of Newtonian jets in CIJ regime.

The so-called Rayleigh-Plateau instability of fluid jets has been widely studied and is extensively used in the Continuous InkJet (CIJ) printing process. The present dataset contains the numerically-generated interfaces of Newtonian fluids jets in CIJ jetting conditions for low to moderately high stimulation amplitudes. We used Basilisk, an open-source Computational Fluid Dynamics (CFD) software specialized in multiphase flow to compute thousands of jets of fluids for Reynolds numbers ranging from 100 to 1000. The dataset gives raw data of CFD simulations liquid-air interfaces, for each Reynolds - stimulation amplitude pair. The present 10 GB dataset contains interfaces which allows to use novel machine learning and deep-learning approaches to explore jet morphologies evolution that can't be addressed with the classical Rayleigh's theory.