A5053800651- Welding Techniques and Residual Stresses
- Advanced Surface Polishing Techniques
- Metal and Thin Film Mechanics
- Fatigue and fracture mechanics
- Integrated Circuits and Semiconductor Failure Analysis
- Additive Manufacturing Materials and Processes
- Aluminum Alloys Composites Properties
- Microstructure and mechanical properties
- High Temperature Alloys and Creep
- Non-Destructive Testing Techniques
- Advanced Welding Techniques Analysis
- Dental materials and restorations
- Aluminum Alloy Microstructure Properties
- Advanced machining processes and optimization
- Hydrogen embrittlement and corrosion behaviors in metals
- High Entropy Alloys Studies
- Additive Manufacturing and 3D Printing Technologies
- Magnesium Alloys: Properties and Applications
- Numerical methods in engineering
- Dental Erosion and Treatment
- Surface Treatment and Residual Stress
- Microstructure and Mechanical Properties of Steels
- Cellular and Composite Structures
- Advanced X-ray and CT Imaging
- Polymer composites and self-healing
University of Udine
2020-2025
University of Oxford
2014-2023
Oxfam
2020
Science Oxford
2017-2019
Defects in additively manufactured materials are one of the leading sources uncertainty mechanical fatigue. Fracture mechanics concepts useful to evaluate their influence, nevertheless, these approaches cannot account for real morphology defects. Preliminary attempts exploit a more comprehensive description defects can be found literature, by using Machine Learning. These notoriously data-hungry and neither physics laws nor phenomenological rules introduced assess soundness outcome. Hereby,...
The impact of mechanical fatigue on load-bearing metallic components and structures is highly significant, encompassing economy, environment safety aspects. For nearly 200 years, engineers scientists have been relentlessly trying to avoid failures understand their causes. last few decades seen the prominent advent a wide range experimental computational techniques that allowed us make once-unthinkable advances in this field. Despite progress, significant number problems remain unsolved. This...
In metal additive manufacturing (MAM), microstructural properties such as texture, residual stresses, and dislocation density have emerged key factors ruling the resulting mechanical performances. this study, cylindrical AISI 316L specimens, fabricated with laser powder bed fusion (LPBF), were tested under cyclic elastoplastic (EP) deformation using a constant strain amplitude to highlight evolution of stresses (RS), texture increasing number EP cycles, N, across hardening-softening (H–S)...
<italic>Operando</italic> synchrotron XRD and <italic>in situ</italic> ptycho-tomography of single NMC811 particle revealed the correlation between lattice strain degradation.
The family of additive manufacturing techniques has been attracting significant attention manufacturers and researchers, due to its unrivalled flexibility fabricate repair geometrically complex objects. However, material shaping is not sufficient: wide adoption can only occur upon the achievement satisfactory mechanical performance in terms structural integrity. present study exploits a range micro-scale experimental shed light on fatigue failure mechanisms Laser Metal Deposition IN718...
Accurate fatigue assessment of material plagued by defects is utmost importance to guarantee safety and service continuity in engineering components. This study shows how state-of-the-art semi-empirical models can be endowed with additional defect descriptors probabilistically predict the occurrence failures exploiting advanced Bayesian Physics-guided Neural Network (B-PGNN) approaches. A B-PGNN thereby developed failure probability a sample containing defects, referred given endurance...
A supersaturated γ phase microstructure is produced in Ni-based superalloys using laser powder bed fusion (L-PBF) – the cooling rate arising from process shown to suppress solid-state precipitation of γ′ phase. The response material a heat treatment therefore requires new understanding at fundamental level, since first population precipitate forms upon heating, contrast homogenisation above solvus. Here, we have interrogated two nickel-based designed for L-PBF technology, both situ and ex...
Substantial advances in fatigue estimation of defective materials can be attained through the employment a Physics-Informed Neural Network (PINN). The fundamental strength such framework is ability to account for several defect descriptors while maintaining predictions physically sound. first objective present work assessment PINN estimated life variability due uncertainties carried by inputs. Additionally, set sensitivity indices are employed explore influence life. suggested that some...