Paolo Antonioni

ORCID: 0000-0002-3926-4850
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Additive Manufacturing and 3D Printing Technologies
  • Additive Manufacturing Materials and Processes
  • Advanced materials and composites
  • Bone Tissue Engineering Materials
  • Cellular and Composite Structures
  • Innovations in Concrete and Construction Materials
  • Advanced Machining and Optimization Techniques
  • Advanced X-ray and CT Imaging
  • Engineering Technology and Methodologies
  • Advanced machining processes and optimization
  • Titanium Alloys Microstructure and Properties

Polytechnic University of Turin
2023-2024

Additive manufacturing (AM) technologies for metallic materials allow the of high-performance components optimised in weight, geometry, and mechanical properties. However, several post-processing operations are needed after production, including removing parts from build platform. This operation is essential must be performed rapidly, precisely, with a good surface finishing. work presents an experimental investigation wire electric discharge machining (W-EDM) process Ti6Al4V specimens...

10.3390/jmmp7020069 article EN cc-by Journal of Manufacturing and Materials Processing 2023-03-16

A distinctive characteristic of the powder bed fusion with electron beam (PBF-EB) process is sintering particles. For certain metallic materials, this crucial for success subsequent step, melting, and, generally, whole process. Despite mechanisms that occur during PBF-EB being similar to well-known metallurgy, neck growth rates are significantly different. Therefore, specific analyses needed understand influence conditions on and rate. Additionally, some aspects, such as rigid body motion...

10.3390/jmmp7020055 article EN cc-by Journal of Manufacturing and Materials Processing 2023-03-01

Abstract Despite the many advantages and increasing adoption of Electron Beam Powder Bed Fusion (PBF-EB) additive manufacturing by industry, current PBF-EB systems remain largely unstable prone to unpredictable anomalous behaviours. Additionally, although featuring in-situ process monitoring, show limited capabilities in terms timely identification failures, which may result into considerable wastage production time materials. These aspects are commonly recognized as barriers for industrial...

10.1007/s10845-024-02359-6 article EN cc-by Journal of Intelligent Manufacturing 2024-03-28
Coming Soon ...