Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Giovanni Pappalettera"'
Autor:
Claudia Barile, Claudia Cianci, Vimalathithan Paramsamy Kannan, Giovanni Pappalettera, Carmine Pappalettere, Caterina Casavola, Michele Laurenziello, Domenico Ciavarella
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Passive non-destructive evaluation tools such as acoustic emission (AE) testing and acousto-ultrasonics (AU) approach present a complex problem in damage localisation in complex and nonhomogeneous geometries. A novel AU-guided AE frequency i
Externí odkaz:
https://doaj.org/article/aee2311ed48e4398a1af1668aed2c1a6
Autor:
Dany Katamba Mpoyi, Aimé Lay Ekuakille, Moise Avoci Ugwiri, Caterina Casavola, Giovanni Pappalettera
Publikováno v:
Measurement: Sensors, Vol 32, Iss , Pp 101051- (2024)
This study explores the effectiveness of empirical mode decomposition (EMD) and filter diagonalization methods (FDM) in joint monitoring tool wear during machining operations using vibration measurements. The research investigates diverse tools and w
Externí odkaz:
https://doaj.org/article/ffb0148dfdfc4b1a8eca75208ef954c0
Publikováno v:
Sci, Vol 6, Iss 2, p 24 (2024)
The present study investigates the utilization of ceramic coatings and insulation elements in the context of Cold Atmospheric Pressure Plasma (CAPP) surgery tools, highlighting how precise engineering modifications can influence surgical precision. T
Externí odkaz:
https://doaj.org/article/95761b520c1148a092de7e82cb5152a1
Publikováno v:
Sensors, Vol 23, Iss 11, p 5345 (2023)
Machine learning techniques have progressively emerged as important and reliable tools that, when combined with machine condition monitoring, can diagnose faults with even superior performance than other condition-based monitoring approaches. Further
Externí odkaz:
https://doaj.org/article/cf070752a3664e34a19c769eea513195
Publikováno v:
Materials, Vol 16, Iss 5, p 2123 (2023)
Modern technological development has made the designing and characterization of materials sophisticated [...]
Externí odkaz:
https://doaj.org/article/203e5fbacf114c88b0d18b8b97015ede
Publikováno v:
Materials, Vol 16, Iss 1, p 300 (2022)
A multiparameter approach is preferred while utilizing Acoustic Emission (AE) technique for mechanical characterization of composite materials. It is essential to utilize a statistical parameter, which is independent of the sensor characteristics, fo
Externí odkaz:
https://doaj.org/article/6492bb3c59f54cdca70f869013bfd313
Autor:
Claudia Barile, Caterina Casavola, Giovanni Pappalettera, Vimalathithan Paramsamy Kannan, Dany Katamba Mpoyi
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 189 (2022)
In this research paper, the acoustic emission technique and a deep learning framework based on two types of pre-trained CNN models (alexNet and squeezeNet) and a new model are proposed to characterize and classify the mechanical behavior of AlSi10Mg
Externí odkaz:
https://doaj.org/article/ec494c01fc8c460b97d9c382f4af8b41
Autor:
Simone Carone, Pasqualino Corigliano, Gabriella Epasto, Vincenzo Moramarco, Giulia Palomba, Giovanni Pappalettera, Caterina Casavola
Publikováno v:
Metals, Vol 12, Iss 12, p 2039 (2022)
This study aims to propose a thorough experimental methodology to assess the mechanical quality of dissimilar joints. This comprehensive approach investigates the fatigue behavior by exploiting the thermographic method, accompanying and correlating t
Externí odkaz:
https://doaj.org/article/9dbd2d899b744ee2976f058c8ec4fa42
Autor:
Caterina Casavola, Lucia Del Core, Vincenzo Moramarco, Giovanni Pappalettera, Marika Patronelli
Publikováno v:
Physical Sciences Forum, Vol 4, Iss 1, p 20 (2022)
In this study, the responses of three soft open cell polyurethane foam samples (85, 63 and 46 kg/m3) subjected to four incremental cyclic compression load steps of 20%, 40%, 60%, and 80% strain are analyzed by digital image correlation. Facing large
Externí odkaz:
https://doaj.org/article/e2b30eeae3d84353ae0ab97b1dac9f78
Autor:
Claudia Barile, Caterina Casavola, Giovanni Pappalettera, Vimalathithan Paramsamy Kannan, Gilda Renna
Publikováno v:
Materials, Vol 15, Iss 12, p 4252 (2022)
Three-point bending tests on Short Beam Shear (SBS) specimens are performed to investigate the interlaminar shear properties of plain weave fabric CFRP composites. The tests are performed in a controlled environmental chamber at two different elevate
Externí odkaz:
https://doaj.org/article/fd0ffa649d2e4146b02a5a2bb3e9b1b5