Media deformation prediction informed by simulation

Abstract

In a printer and method for predicting media deformation at the end of a printing process due to an interaction of print medium and liquid like water-based marking liquid or coating liquid, the method includes receiving a print job for a printer with a plurality of print heads, the print job determining types of liquid, a type of print medium and a printer configuration to be used, extracting liquid amounts for predetermined areas of at least one image taken from the print job, providing the extracted liquid amounts together with the types of liquid, the type of print medium and the printer configuration as input for a simulation tool, the simulation tool simulating the interaction by modelling physical phenomena defining said interaction such as absorption, evaporation and diffusion giving a moisture profile for the print job as output, a machine learning model receiving the moisture profile, the machine learning model trained with a training set of media deformation of test print jobs with a same printer configuration, a same type of ink and a same type of print medium, and the machine learning model predicting the media deformation of the print job.

Dependencies are inferred from the claim text.