The goal of DIDRO project is to make a step towards developing a Digital Twin of an inkjet-printer for
manufacturing purposes. It focuses on developing and implementing a numerical model that simulates
the process of ink ejection from the nozzle and its final configuration associated to its eventual spreading
on the solid surface. The model is based on an enriched Finite Element/Level Set method. In order to
facilitate quick predictions, a Machine Learning algorithm (possibly, based on Gaussian process) will be
developed and implemented that shall be able to recognize different droplet/jet ejection modes based on
the knowledge of the printing parameters. Inkjet printing simulations and code validation will have to be
carried out.