Michele Moretti

Dr. Michele Moretti

University of Perugia, Perugia, Umbria, Italy
orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 June 2019 in Materials
Verified
Journal Article
Open access
PDF file
Stefano PaganoStefano Pagano
Stefano Pagano
MMMichele Moretti
Michele Moretti
RMRoberto Marsili
Roberto Marsili
ARAlessandro Ricci
Alessandro Ricci
RMRoberto Marsili
Roberto Marsili
SCStefano Cianetti
Stefano Cianetti
The quality of dental arch impression has a substantial role in the precision of the intervention. It is traditionally acquired with resins that solidify when in contact with the air. Compared to that method, digital impression gives great advantages and, together with three-dimensional (3D) digitization devices, allows a simplification of the digital impression process. The growing adoption of such systems by a large number of dental clinics determines the need for an in-depth evaluation of the accuracy and the precision of the different systems. The aim of this work is to define a methodology for the evaluation of the accuracy and precision of 3D intraoral and desktop scanning systems, by using volumetric and linear methods. The replica of a tooth was realized with zirconium; afterward, high-accuracy point clouds of the master model were acquired by a coordinate measurement machine (CMM). In this way, the dimensions of the replica were accurately known. An intraoral scanner (I) and three desktops (D1, D2, D3) were then used to scan the replica. The geometry resulting from the CMM was compared with the ones derived from the scanners, using two different commercial programs (Geomagic and 3-Matic) and a custom-developed algorithm (MATLAB). Geomagic showed the mean values to be in a range from 0.0286 mm (D1) to 0.1654 mm (I), while 3-Matic showed mean values from −0.0396 mm (D1) to 0.1303 mm (I). MATLAB results ranged from 0.00014 mm (D1) to 0.00049 mm (D2). The probability distributions of the volumetric error of the measurements obtained with the different scanners allow a direct comparison of their performances. For the results given by our study, the volumetric approach that we adopted appears to be an excellent system of analysis.

1 January 2008 in International Journal of Fatigue
Verified
Journal Article
Closed access
PCP Cavaliere
P Cavaliere
GRGianluca Rossi
Gianluca Rossi
Raffaella Di SanteRaffaella Di Sante
Raffaella Di Sante
MMMichele Moretti
Michele Moretti

8 July 2017 in Materials
Verified
Journal Article
Open access
PDF file
ESEmanuela Speranzini
Emanuela Speranzini
RMRoberto Marsili
Roberto Marsili
MMMichele Moretti
Michele Moretti
GRGianluca Rossi
Gianluca Rossi
The article presents a hybrid monitoring technique for the measurement of the deformation field. The goal is to obtain information about crack propagation in existing structures, for the purpose of monitoring their state of health. The measurement technique is based on the capture and analysis of a digital image set. Special markers were used on the surface of the structures that can be removed without damaging existing structures as the historical masonry. The digital image analysis was done using software specifically designed in Matlab to follow the tracking of the markers and determine the evolution of the deformation state. The method can be used in any type of structure but is particularly suitable when it is necessary not to damage the surface of structures. A series of experiments carried out on masonry walls of the Oliverian Museum (Pesaro, Italy) and Palazzo Silvi (Perugia, Italy) have allowed the validation of the procedure elaborated by comparing the results with those derived from traditional measuring techniques.

1 October 2018 in Measurement
Verified
Journal Article
Closed access
SCSofia Catalucci
Sofia Catalucci
RMRoberto Marsili
Roberto Marsili
MMMichele Moretti
Michele Moretti
GRGianluca Rossi
Gianluca Rossi

1 July 2017 in Journal of Sound and Vibration
Verified
Journal Article
Closed access
MMMarko Mihalec
Marko Mihalec
JJJaka Javh
Jaka Javh
Filippo CianettiFilippo Cianetti
Filippo Cianetti
MMMichele Moretti
Michele Moretti
GRGianluca Rossi
Gianluca Rossi
MBMiha Boltežar
Miha Boltežar

1 June 2023 in 3D Printing and Additive Manufacturing
Verified
Journal Article
Closed access
MMMichele Moretti
Michele Moretti
Arianna RossiArianna Rossi
Arianna Rossi
Fused filament fabrication (FFF) is an additive manufacturing process where a thermoplastic polymeric material, provided in the form of a filament, is extruded to create layers. Achieving a consistent flow of the extruded material is key to ensure quality of the final part. Extrudate flow depends on many factors; among these, the rate at which the filament is fed into the extruder. In a conventional FFF machine, filament transport is achieved through the use of a drive gear. However, slippage between the gear and the filament may occur, leading to reduced transport and the consequent local decrease of extrudate flow rate, which in turn leads to a series of imperfections in the fabricated part due to underextrusion, including reduced density. In this work, we propose a closed-loop control system to ensure the correct filament transport to the extruder. The system works through the comparison between the nominal transport of the filament and the actual filament transport measured using an encoder. The measured value is used to correct the filament feed rate in real time, ensuring a material flow close to the nominal one, regardless of the other process parameters. In this work, an instrumented FFF machine prototype was used to investigate the performance of the approach. For validation, parts were realized using different process parameters, while enabling and disabling the closed-loop control system. Results showed that the relative filament transport error decreased from up to 9% to below 0.25% and a density increase up to ∼10% regardless of the process parameters, as well as the reduction of interlayer and intralayer voids, as highlighted through cross-sectional imaging of realized samples. A reduction of defects on realized parts was observed, especially at higher fabrication feed rates.