Mechanical and Industrial Engineering

The general educational objective of the PhD course in Mechanical and Industrial Engineering is to deepen and integrate specific and diversified skills, each of high value in the specific technical sector-scientific, in order to create a knowledge base that will enable the future PhD candidate to deal with complex problems, characterized by a strong multidisciplinarity. These skills are oriented to the development of methodologies that integrate energy systems and power generation, thermal engineering, measurement engineering, applied mechanics, industrial and mechanical design, machine construction, manufacturing technology, industrial engineering and operations management, mining engineering, safety engineering and risk assessment, power electronics and electrical machines, business and management engineering, biomedical engineering. The above competencies are used in the design, development, construction, operation and end-of-life of products and engineering works, production and logistics systems, also with regard to sustainability and environmental impacts. The proposed research approaches range from the application of numerical simulations to laboratory experimentation to prototyping, with strong multidisciplinary characteristics and multidimensional and multiscale analysis. This is also achieved by means of the advanced istrumentation/equipment available in the laboratories, which make possible a methodological approach that is not only broad, but also rigorous and scientifically thorough. The specific topics for the 39° cycle are as follows: - Methods and systems for in situ performance assessment of micro propulsion systems for aerospace, automotive and energy generation applications Tutor: Prof. Andrea Scorza, Prof. Salvatore Andrea Sciuto - Methods and systems for the in situ measurement of the concentration of microplastics in marine environment Tutor: Prof. Andrea Scorza, Prof. Salvatore Andrea Sciuto, Prof. Ambra Giovannelli - Methods and systems for in situ performance assessment of MEMS devices for medicine and biology application Tutor: Prof. Andrea Scorza, Prof. Salvatore Andrea Sciuto - Methods and systems for evaluating the metrological performances of medical ultrasound instrumentation Tutor: Prof. Andrea Scorza, Prof. Salvatore Andrea Sciuto - Multidimensional modeling and testing of hydraulic components and systems Tutor: Prof. Fulvio Palmieri - Supercritical CO2 power plants Tutor: Prof. Ambra Giovannelli, Prof. Coriolano Salvini - Design for Additive Manufacturing: tools and methods for the multi-objective optimization of the supporting structures and part orientation in Selective Laser Melting and Selective Laser Sintering Tutor: Prof. Paolo Cicconi - Development of innovative methodologies for design and analysis of equipment and industrial systems under variability and uncertainty conditions Tutor: Prof. Antonio Casimiro Caputo - Industry 4.0 - Development of methodologies for analysis and design of Cyber-Physical systems in manufacturing plants Tutor: Prof. Antonio Casimiro Caputo - Analysis and design of gyroscopic sea wave energy conversion systems Tutor: Prof. Antonio Casimiro Caputo - Aftertreatment devices for internal combustion engines Tutor: Prof. Ornella Chiavola - Engine control via non intrusive measurements Tutor: Prof. Ornella Chiavola - Design, development and manufacture of home compostable and biodegradable bioplastic products on soil and in a marine environment Tutor: Prof. Massimiliano Barletta - Design, development and manufacture of compostable and biodegradable bioplastic products by 4d printing technologies Tutor: Prof. Massimiliano Barletta - Development of a model for evaluating the actual transmission ratio in V-belt CTV drive systems Tutor: Prof. Alessandro Giorgetti - Analysis and development of innovative vibration damping systems on tennis racquets using smart-materials Tutor: Prof. Fabio Botta - Mechanical design of micro and nano systems using the elastic joint substitution method and kinematic synthesis Tutor: Prof. Nicola Pio Belfiore - Development of innovative optimization methods for inertial navigation systems Tutor: Prof. Nicola Pio Belfiore - New methods and experimental setup in radiotherapy Tutor: Prof. Wolfango Plastino - Concentrated Solar Thermal plants integrated with Compressed Air Energy Storage systems for an Efficient Tutor: Prof. Coriolano Salvini, Prof. Ambra Giovannelli. - Design and development of an innovative ‘multi-harmonic’ whole body vibration (WBV) platform for use in sports and rehabilitation Tutor: Prof. Fabio Botta -Mining methods and management techniques of CRM mines Tutor: Prof. Guido Alfaro Degan. Further details can be found at https://ingegneriaindustrialeelettronicameccanica.uniroma3.it/dottorato/2023/ingegneria-meccanica-e-industriale-dott608/