OPTIMA

OPTIMA:

depOsition of cold sPray in the realm of green addiTIve manufacturing through construction of MAchine learning models

SUMMARY

Cold Spray (CS) is a micrometer-sized powder deposition technology utilized for additive manufacturing and repair. It operates at temperatures below the powder material’s melting point, allowing solid-state deposition and compatibility with temperature-sensitive materials. CS enables the creation of multi-material products, promoting resource efficiency and environmental sustainability. The OPTIMA project aims to utilize machine learning (ML) to optimize CS coating procedures by integrating advanced parameter sensors. This aligns with strategic goals for digitalization in manufacturing, fostering sustainability and circular economy initiatives.

TEAM

Genoveffa Tortora

Principal Investigator
University of Salerno

Massimo Durante

Co-Principal Investigator
University of Salerno

Fabiola De Marco

University of Salerno Unit

Alessia Auriemma Citarella

University of Salerno Unit

Luigi Di Biasi

University of Salerno Unit

Alessia Serena Perna

University of Naples Federico II Unit

Antonio Viscusi

University of Naples Federico II Unit

List of Pubblication

Perna, A. S., Carrino, L., Auriemma, Citarella, A., De Marco, F., Di Biasi, L., Tortora, G., & Viscusi, A. (2023). A machine learning approach for adhesion forecasting of cold-sprayed coatings on polymer-based substrates. Materials Research Proceedings, 28, 57-64.