The MOZART methodology aspires to a Safe and Sustainable by Design (SSbD) approach for delivering protective coatings as an alternative to hard chromium in various applications. It is structured in the following steps:
- It starts with the analysis of end-user specifications (desired values and targets) which feed the computer experimentation (in-silico techniques).
- The in-silico techniques utilize the end users’ data in two ways:
- Models: using Artificial Intelligence (AI) for developing hybrid data-driven models predicting the correlation between the composition of electrolytes and coating properties;
- Simulations: simulating the plating process to provide output for the plating parameters.
- Both (models and simulations) are fed with real experimental data provided by the technical partners that are producing the coatings.
- Finally, by utilizing SSbD approaches in combination with output derived from the simulation the pilot line will be set up and modified aiming to achieve a high level of monodispersed composite electrolytes and a uniform current density distribution across the surface of the objects to be coated, even of the ones with complex geometries.
Overall, the MOZART methodology aims to develop the necessary knowledge, models and simulations, as well as infrastructure in order to:
- deliver coatings with appropriate structure and excellent mechanical and physicochemical properties, and
- promote safe and sustainable processes and novel materials.
Funded by the European Union under GA number 101058450. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.