PhD Student in Ingegneria Meccanica , 35th cycle (2019-2022)
Department of Mechanical and Aerospace Engineering (DIMEAS)
Research Assistant
Department of Mechanical and Aerospace Engineering (DIMEAS)
Docente esterno e/o collaboratore didattico
Department of Mechanical and Aerospace Engineering (DIMEAS)
Profile
PhD
Thesis title
Data driven and physics based methods to assess the mechanical response of advanced materials: from experiments to efficient predictions
Tutors
Research interests
Curriculum
Scientific branch
(Area 0009 - Industrial and information engineering)
Research topics
- Machine learning method for modelling, design and monitoring composite structural parts.
Skills
ERC sectors
SDG
Fellowships
- Effective member - SAE, Stati Uniti (2020-2022)
Other research or teaching roles outside Politecnico
- Visiting Researcher, presso Northwestern University (1/9/2021-30/4/2022)
Teaching
Teachings
Master of Science
- Design of Lightweight and composite structures. A.A. 2022/23, INGEGNERIA MECCANICA (MECHANICAL ENGINEERING). Collaboratore del corso
- Design of Lightweight and composite structures. A.A. 2023/24, 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
Bachelor of Science
- Affidabilità , sicurezza e manutenzione per l'azienda. A.A. 2023/24, INGEGNERIA MECCANICA. Collaboratore del corso
- Fundamentals of machine design. A.A. 2023/24, INGEGNERIA DELL'AUTOVEICOLO (AUTOMOTIVE ENGINEERING). Collaboratore del corso
Research
Research groups
Publications
PoliTO co-authors
Latest publications View all publications in Porto@Iris
- 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 - 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, Alberto; Tridello, Andrea; Berto, Filippo; Paolino, DAVIDE SALVATORE (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, pp. 56-69
Contributo in Atti di Convegno (Proceeding) - 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, A; Ferrarese, A; Paolino, D. S.; Belingardi, G; Liu, W. K. (2022)
Experimentally trained physic-informed neural network as material model. In: 20th European Conference on Composite Materials - Composites Meet Sustainability, Lausanne (Switzerland), pp. 822-830. ISBN: 978-2-9701614-0-0
Contributo in Atti di Convegno (Proceeding)