Antonio Pantano, Ph.D.
Affiliations: | 2002 | Michigan State University, East Lansing, MI |
Area:
Mechanical Engineering, Materials Science EngineeringGoogle:
"Antonio Pantano"Parents
Sign in to add mentorRonald Averill | grad student | 2002 | Michigan State | |
(A penalty -based interface technology for connecting independently modeled substructures and for simulating growth of delamination in composite structures.) |
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Publications
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Pantano A, Montinaro N, Cerniglia D, et al. (2019) Novel non-destructive evaluation technique for the detection of poor dispersion of carbon nanotubes in nanocomposites Composites Part B: Engineering. 163: 52-58 |
Pantano A. (2019) Cohesive Model for the Simulation of Crack Initiation and Propagation in Mixed-Mode I/II in Composite Materials Applied Composite Materials. 26: 1207-1225 |
Pantano A. (2017) Effects of mechanical deformation on electronic transport through multiwall carbon nanotubes International Journal of Solids and Structures. 33-41 |
Montinaro N, Gspann TS, Pantano A, et al. (2015) Stress Transfer within CNT Fibres: A FEA Approach Procedia Engineering. 109: 435-440 |
Gspann TS, Montinaro N, Pantano A, et al. (2015) Mechanical properties of carbon nanotube fibres: St Venant's principle at the limit and the role of imperfections Carbon. 93: 1021-1033 |
Mineo C, Cerniglia D, Pantano A. (2014) Numerical study for a new methodology of flaws detection in train axles Ultrasonics. 54: 841-849 |
Montinaro N, Pantano A. (2014) Parameters influencing the stiffness of composites reinforced by carbon nanotubes - A numerical-analytical approach Composite Structures. 109: 246-252 |
Pantano A, Muratore G, Montinaro N. (2013) Electrical conductance of carbon nanotubes with misaligned ends Journal of Nanoparticle Research. 15 |
Pantano A, Campanella D, Montinaro N, et al. (2013) Electronic properties of carbon nanotubes under torsion Applied Physics a: Materials Science and Processing. 110: 77-85 |
Pantano A. (2013) Numerical-Analytical Model for Nanotube-Reinforced Nanocomposites Modeling and Prediction of Polymer Nanocomposite Properties. 201-214 |