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About

Bernardo Freire is a leading researcher in the field of metal additive manufacturing (MAM), with a specific focus on Direct Energy Deposition (DED) and the digitalization of production workflows. His work addresses critical challenges in modern manufacturing, including cost-effectiveness, material efficiency, and process standardization. Freire’s major contributions center on developing integrated, interoperable platforms for the robotic process of MAM. He has pioneered the use of AutomationML for seamless data exchange, enabling flexible and standardized communication between different stages of the additive manufacturing chain. His most-cited paper (16 citations) presents a complete workflow for DED, highlighting its advantages over traditional methods. Further work (11 citations) explores AutomationML’s role in data exchange, while a third study (5 citations) proposes a fully integrated platform for robotic MAM. Collectively, his research has been cited over 32 times, establishing him as a key figure in advancing the digital transformation of additive manufacturing. Freire’s work is particularly notable for bridging the gap between industrial process automation and data interoperability, offering practical solutions for the next generation of smart factories.