Research activities focus on product engineering methods and tools. These are divided into two main areas:
Design to Cost
Study and development of parametric cost models for estimating production costs for mechanical products, using machine learning algorithms based on historical data.
Study and development of classification algorithms for mechanical components using various artificial intelligence methods, such as Large Language Models and Deep Neural Networks, starting from images and technical drawings.
Development of vertical software tools for estimating production and lifecycle costs during the various stages of product development (conceptual and detailed design).
Design for Additive Manufacturing
Development of lifecycle models for assessing environmental and economic sustainability indicators for the main additive manufacturing processes.
Topological optimization and generative modeling for the use of additive manufacturing.
Printing process simulation for Laser-Powder Bed Fusion and Laser-Directed Energy Deposition technologies.
Publications
Campi, F., Favi, C., Germani, M., Mandolini, M., 2022. CAD-integrated design for manufacturing and assembly in mechanical design. Int J Comput Integr Manuf 35, 282–325. https://doi.org/10.1080/0951192X.2021.1992659
Favi, C., Murgese, L., Gallozzi, S., Chiacchietta, C., Marconi, M., Mandolini, M., 2025. Definition of a life cycle engineering tool to support the ecodesign in additive manufacturing: application to FDM technology. International Journal on Interactive Design and Manufacturing (IJIDeM). https://doi.org/10.1007/s12008-025-02432-1
Mandolini, M., Manuguerra, L., Sartini, M., lo Presti, G.M., Pescatori, F., 2024. A cost modelling methodology based on machine learning for engineered-to-order products. Eng Appl Artif Intell 136, 108957. https://doi.org/10.1016/j.engappai.2024.108957
Sartini, M., Favi, C., Mandolini, M., 2024. Rapid investment casting: a techno-economic analysis for evaluating VAT photopolymerisation processes. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-024-14331-y
