Alessio Centola

Alessio Centola's picture

Ph.D. candidate in Ingegneria Meccanica , 39^th cycle (2023-2026)
Department of Mechanical and Aerospace Engineering (DIMEAS)

alessio.centola@polito.it

Profile

PhD

Tutors

Keywords

Additive manufacturing (am)

Additive manufacturing for metallic materials

Composite materials

Fatigue behaviour

Machine learning

Topology optimization

Skills

ERC sectors

PE11_5 - Engineering of composites and hybrid materials

PE11_2 - Engineering of metals and alloys

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

PE8_7 - Mechanical engineering

Teaching

Teachings

Master of Science

Challenge@PoliTo by Firms - ZECA. A.A. 2024/25, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso

MostraNascondi A.A. passati

Research

Research groups

Mechanics of materials and joints (DIMEAS)

Publications

PoliTO co-authors

Last years publications

Publications by type

Latest publications View all publications in Porto@Iris

Centola, Alessio; Ciampaglia, Alberto; Paolino, Davide Salvatore; Tridello, Andrea (2026)
Data scarcity in fatigue design of AM parts: A transfer learning framework to model the process − structure − property relationship. In: ENGINEERING FAILURE ANALYSIS, vol. 197. ISSN 1350-6307
Contributo su Rivista
Centola, Alessio; Ciampaglia, Alberto; Boursier Niutta, Carlo; Berto, Filippo; Paolino, ... (2026)
Data driven topology optimization of AM parts accounting for process-affected fatigue performance: Application to automotive and aerospace components. In: INTERNATIONAL JOURNAL OF FATIGUE, vol. 206. ISSN 0142-1123
Contributo su Rivista
Centola, Alessio; Ciampaglia, Alberto; Paolino, Davide Salvatore; Tridello, Andrea (2025)
Probabilistic Machine Learning for preventing fatigue failures in Additively Manufactured SS316L. In: ENGINEERING FAILURE ANALYSIS, vol. 168, pp. 1-23. ISSN 1350-6307
Contributo su Rivista
Centola, Alessio; Tridello, Andrea; Ciampaglia, Alberto; Berto, Filippo; Paolino, Davide ... (2024)
Review on machine learning techniques for the assessment of the fatigue response of additively manufactured metal parts. In: FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, vol. 47, pp. 2700-2729. ISSN 8756-758X
Contributo su Rivista
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