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Patrizia Perulli

Researcher at Instituto Politécnico Nacional

Publications -  13
Citations -  288

Patrizia Perulli is an academic researcher from Instituto Politécnico Nacional. The author has contributed to research in topics: Welding & Anatase. The author has an hindex of 8, co-authored 13 publications receiving 193 citations. Previous affiliations of Patrizia Perulli include University of Salento.

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Enhanced Photocatalytic Activity of Pure Anatase Tio2 and Pt-Tio2 Nanoparticles Synthesized by Green Microwave Assisted Route

TL;DR: In this paper, a nonaqueous microwave-based approach was used to synthesize elongated pure anatase titania nanoparticles and the residual organics onto nanoparticles surfaces were completely removed through a new treatment under ozone flow at room temperature in air.
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Facile preparation of TiO2-polyvinyl alcohol hybrid nanoparticles with improved visible light photocatalytic activity

TL;DR: In this article, a two-step synthesis procedure was used to obtain hybrid inorganic/organic core/shell nanoparticles through a rapid microwave assisted non-aqueous route, and the obtained titania nanoparticles were coated with polyvinyl alcohol (PVA) using a simple solution method.
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Study on the fiber laser/TIG weldability of AISI 304 and AISI 410 dissimilar weld

TL;DR: In this article, a fiber laser-TIG hybrid welding system was used to weld austenitic and martensitic stainless steels in annealed condition by fiber laser coupled with an electric arc.
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Effects of Laser Offset and Hybrid Welding on Microstructure and IMC in Fe-Al Dissimilar Welding

TL;DR: In this paper, the weld microstructure and those compounds over two different technologies: the laser offset welding and the hybrid laser-MIG (Metal inert gas) welding were explored.
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Experimental and Numerical Study of AISI 4130 Steel Surface Hardening by Pulsed Nd:YAG Laser

TL;DR: A finite element model was employed for the simulation of the LSTH of AISI 4130 steel and calculation of the heat-treated zone and the results showed that the model can predict with accuracy the temperature profile and the size and the shape of the laser hardened region.