| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Safaei, Babak
Eastern Mediterranean University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2024Enhancing tensile strength, adhesive joining of CFPEEK and microstructure properties of Epoxy by Nd2O3 rare-earth nanoparticles reinforcementcitations
- 2024Assessment of friction stir spot welding of AA5052 joints via machine learningcitations
- 2024Dynamic effect of ply angle and fiber orientation on composite platescitations
- 2023Prediction of elastic properties of thermoplastic composites with natural fiberscitations
- 2023Prediction of lap shear strength of GNP and TiO2/epoxy nanocomposite adhesivescitations
- 2022Prediction of properties of friction stir spot welded joints of AA7075-T651/Ti-6Al-4V alloy using machine learning algorithmscitations
- 2022Recent developments in tensile properties of friction welding of carbon fiber-reinforced composite: A review
- 2022An experimental and metamodeling approach to tensile properties of natural fibers compositescitations
- 2021The experimental study of CFRP interlayer of dissimilar joint AA7075-T651/Ti-6Al-4V alloys by friction stir spot welding on mechanical and microstructural propertiescitations
- 2021Calcium carbonate nanoparticles effects on cement plast propertiescitations
- 2021Modeling and simulation of the elastic properties of natural fiber-reinforced thermosetscitations
- 2021Friction stir spot welding of AA5052 with additional carbon fiber-reinforced polymer composite interlayercitations
- 2015Molecular Dynamics Simulation For Buckling Analysis At Nanocomposite Beams
Places of action
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article
Prediction of lap shear strength of GNP and TiO2/epoxy nanocomposite adhesives
Abstract
In this study, graphene nanoplatelets (GNPs) and titanium dioxide nanofillers were added to epoxy resin P-5005 at five different weight percentages (wt%), <i>viz.</i>, 1, 5, 10, 15, and 20 wt%. The tensile properties of the nanocomposites were experimentally tested following ASTM D638-14. Then, the above-mentioned nanocomposites were applied as adhesives for an overlap joint of two A5055 aluminum sheets. The apparent shear strength behavior of joints was tested following ASTM D1002-01. Moreover, experimentally obtained results were applied to train and test machine learning and deep learning models, i.e., adaptive neuro-fuzzy inference system, support vector machine, multiple linear regression, and artificial neural network (ANN). The peak tensile strength (TS) and joint failure load (FL) values were observed in epoxy/GNP samples. The ANN model exhibited the least error in predicting the TS and FL of the considered nanocomposites. The epoxy/GNP nanocomposites exhibited the highest TS of 28.49 MPa at 1 wt%, and the peak overlap joints exhibited an FL of 3.69 kN at 15 wt%.<br/><br/>