Ph.D. in Ingegneria Meccanica , 35th cycle (2019-2022)
Ph.D. obtained in 2023
Dissertation:
Data driven and physics based methods to assess the mechanical response of advanced materials: from experiments to efficient predictions (Abstract)
Tutors:
Davide Salvatore PaolinoProfile
Research interests
Scientific branch
(Area 0009 - Industrial and information engineering)
Teaching
Collegi of the degree programmes
- Collegio di Ingegneria Meccanica, Aerospaziale e dell'Autoveicolo. Componente invitato
Teachings
Master of Science
- Design of Lightweight and composite structures. A.A. 2022/23, INGEGNERIA MECCANICA (MECHANICAL ENGINEERING). Collaboratore del corso
- Challenge@PoliTo by Firms - Dress-Up Chocolate with Care. A.A. 2020/21, DESIGN SISTEMICO. Collaboratore del corso
Research
Research groups
Research projects
Projects funded by competitive calls
- PLEIADES - ADVANCING AEROSPACE COMPOSITES THROUGH INDUCTION WELDING AND NEW VITRIMERIC FORMULATIONS ENHANCED BY INTEGRATED PHOTONIC SENSORS, PROVIDING DATA TO DIGITAL SUPPLY CHAIN, SHM, MAINTENANCE , (2025-2027) - Componente gruppo di Ricerca
UE-funded research - HE - Global Challenges - Climate, Energy and Mobility
Publications
Last years publications
Publications by type
Works published during the Ph.D. View all publications in Porto@Iris
- Centola, Alessio; Ciampaglia, Alberto; Tridello, Andrea; Paolino, Davide Salvatore (2023)
Machine learning methods to predict the fatigue life of selectively laser melted Ti6Al4V components. In: FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, vol. 46, pp. 4350-4370. ISSN 8756-758X
Contributo su Rivista - Ciampaglia, Alberto (2023)
Data driven and physics based methods to assess the mechanical response of advanced materials: from experiments to efficient predictions. relatore: PAOLINO, DAVIDE SALVATORE; , 35. XXXV Ciclo, P.: 207
Doctoral Thesis - Ciampaglia, Alberto; Tridello, Andrea; Berto, Filippo; Paolino, Davide (2023)
Data-driven method to assess the influence of process parameters on the fatigue response of additively manufactured Ti6Al4V. In: 27th International Conference on Fracture and Structural Integrity (IGF27), Roma, February 22-24, 2023, pp. 56-69
Contributo in Atti di Convegno (Proceeding) - Tridello, Andrea; Ciampaglia, Alberto; Berto, Filippo; Paolino, DAVIDE SALVATORE (2023)
Assessment of the Critical Defect in Additive Manufacturing Components through Machine Learning Algorithms. In: APPLIED SCIENCES, vol. 13. ISSN 2076-3417
Contributo su Rivista - Ciampaglia, A (2023)
Data driven statistical method for the multiscale characterization and modelling of fiber reinforced composites. In: COMPOSITE STRUCTURES, vol. 320. ISSN 0263-8223
Contributo su Rivista - Ferrarese, Andrea; BOURSIER NIUTTA, Carlo; Ciampaglia, Alberto; Ciardiello, Raffaele; ... (2023)
Experimental and Numerical Investigation of the Mesoscale Size Effect in Notched Woven Composites. In: APPLIED SCIENCES, vol. 13. ISSN 2076-3417
Contributo su Rivista - Ciampaglia, Alberto; Fontanel, Dario; Colaianni, Gianluca; Dozio, Stefano; Mancinelli, ... (2021)
Improving food value chain through sustainability scores. In: CERN IDEASQUARE JOURNAL OF EXPERIMENTAL INNOVATION, vol. 5, pp. 3-8. ISSN 2413-9505
Contributo su Rivista - Ciampaglia, Alberto; Belingardi, Giovanni; Mastropietro, Antonio; De Gregorio, ... (2021)
Artificial Intelligence for Damage Detection in Automotive Composite Parts: A Use Case. In: SAE TECHNICAL PAPER. ISSN 0148-7191
Contributo su Rivista