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L. De Napoli

Researcher at University of Calabria

Publications -  25
Citations -  635

L. De Napoli is an academic researcher from University of Calabria. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 7, co-authored 14 publications receiving 521 citations.

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Application of Incremental Forming process for high customised medical product manufacturing

TL;DR: In this article, a particular application is carried out taking into account the development of an innovative technique to produce a customised ankle support, exalting the role that this technology may play when single complex product has to be manufactured.
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Influence of some relevant process parameters on the dimensional accuracy in incremental forming: a numerical and experimental investigation

TL;DR: In this article, an integrated numerical/experimental procedure is proposed in order to limit the shape defects between the obtained geometry and the desired one, with the aim to quantify the geometrical discrepancies.
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A simple approach for reducing profile diverting in a single point incremental forming process

TL;DR: In this paper, a feasible and easily implemented strategy is the design of modified trajectories able to take into account both springback effects and stiffness reduction owing to specific clamping equipment.
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Experimental investigation of the mechanical performances of titanium cranial prostheses manufactured by super plastic forming and single-point incremental forming

TL;DR: In this paper, sheet-forming processes, i.e., super plastic forming and single-point incremental forming, have been adopted for the manufacturing of custom prostheses, instead of subtractive and additive techniques that are time and cost-consuming for a single piece production.
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Visualization of Industrial Engineering Data Visualization of Industrial Engineering Data in Augmented Reality

TL;DR: This paper presents an innovative application of Augmented Reality (AR) techniques in the field of industrial engineering in which the user explores data from numerical simulations or the results of measurements and experiments, superimposed to the real object that they refer to.