The project aims to design and standardize some industrial processes (additive printing and process production) characterizing them with their typical operating and measurement variables, to allow the data to form data sets useful for the definition and identification of machine learning algorithms useful for predicting the behavior of industrial processes, in order to improve the ability to respond to the market on time and at reduced operating costs, also reducing waste and energy impacts.
The ultimate goal is to create a new product and also a new way of managing production processes in the process and production area.