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Sara Biamino

Researcher at Polytechnic University of Turin

Publications -  141
Citations -  4872

Sara Biamino is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Microstructure & Alloy. The author has an hindex of 30, co-authored 129 publications receiving 3193 citations. Previous affiliations of Sara Biamino include Avio & Istituto Italiano di Tecnologia.

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Overview on Additive Manufacturing Technologies

TL;DR: This paper provides an overview on the main additive manufacturing/3D printing technologies suitable for many satellite applications and, in particular, radio-frequency components.
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Electron beam melting of Ti–48Al–2Cr–2Nb alloy: Microstructure and mechanical properties investigation

TL;DR: In this article, electron beam melting (EBM) is used to realize a selective densification of metal powder by melting it in a layerwise manner following a CAD design, and microstructure, the residual porosity and the chemical composition of the samples have been investigated both immediately after EBM and after heat treatments.
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An Overview of Additive Manufacturing of Titanium Components by Directed Energy Deposition: Microstructure and Mechanical Properties

TL;DR: An overview of the additive manufacturing of titanium alloys is given in this article, focusing on the mechanical properties and microstructure of components fabricated by directed energy deposition (DED).
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Application of Directed Energy Deposition-Based Additive Manufacturing in Repair

TL;DR: In this article, the authors present an overview of the Directed Energy Deposition (DED) process and its role in the repairing of metallic components and confirm the significant capability of DED process as a repair and remanufacturing technology.
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Additive manufacturing of titanium alloys in the biomedical field: processes, properties and applications:

TL;DR: This work reviews the advantages given by additive manufacturing technologies, which include the possibility to create porous complex structures to improve osseointegration and mechanical properties, to lower processing costs, to produce custom-made implants according to the data for the patient acquired via computed tomography and to reduce waste.