Dottorando in Ingegneria Gestionale E Della Produzione , 41o ciclo (2025-2028)
Dipartimento di Ingegneria Gestionale e della Produzione (DIGEP)
Profilo
Dottorato di ricerca
Argomento di ricerca
Sustainability of additive manufacturing across the value chain: life cycle assessment, experimental validation, and optimization strategies
Tutori
Keywords
Biografia
The research activities will include the development and application of Life Cycle Assessment (LCA)-based frameworks tailored to different AM technologies and materials. These models will be used to quantify energy consumption, material efficiency, emissions, and other relevant environmental indicators. The results will enable the assessment and comparison of the sustainability performance of AM processes with alternative manufacturing routes, providing support for informed decision-making processes.
The developed models will be validated and refined through the collection of experimental data from AM machines operating in laboratory and industrial environments. These data will be used to investigate correlations between process parameters, product quality, and the sustainability performance of AM systems.
In addition, opportunities to improve the sustainability of AM processes along the entire value chain will be analysed and explored. These may include the use of recycled or secondary feedstock, optimization of process parameters, and improvements in material and energy efficiency.
Where appropriate, part of the research activities may be conducted at external research centres, industrial partners, or international institutions, in order to gain access to advanced AM equipment and real production data.
In parallel with the research activities, the PhD training program will include complementary didactic activities aimed at strengthening methodological and interdisciplinary skills. These will include advanced courses in sustainability assessment, additive manufacturing technologies, and data analysis.
Overall, the project aims to contribute to the development of more sustainable additive manufacturing value chains through scientifically robust assessment methodologies and practical improvement strategies.