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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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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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Kumar, T. Ch. Anil
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- 2024Machining Performance of Ti6Al4V Nano Composites Processed at Al2O3 Nano Particles Mixed Minimum Quantity Lubrication Condition
- 2022Machining Performance of AA2024/5Al2O3/5Gr Hybrid Composites under Al2O3 Mixed Dielectric Medium
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- 2022Optimization of Abrasive Wear Characteristics of Polyethylene/Acrylate Copolymer Nanocompositescitations
- 2022Machining Performance of AA2024/5Al2O3/5Gr Hybrid Composites under Al2O3 Mixed Dielectric Medium ... : أداء التشغيل الآلي للمركبات الهجينة AA2024/Al2O3/5Gr تحت متوسط العزل الكهربائي المختلط Al2O3 ...
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Machining Performance of AA2024/5Al2O3/5Gr Hybrid Composites under Al2O3 Mixed Dielectric Medium
Abstract
In this research work, AA2024/5Al2O3/5Gr hybrid composites fabricated through stir casting were machined utilising an electric discharge machine (EDM). Experiments were performed by varying current, pulse on time (POT), gap voltage (GV), and Al2O3 powder concentration (PC). The experiments were designed using response surface methodology in which material removal rate (MRR), tool wear rate (TWR), and surface roughness (Ra) were recorded as responses. The addition of Al2O3 particles has a positive impact on MRR and Ra, whereas it has a negative impact on TWR. The interaction impact of process parameters (p-p) on responses was thoroughly analyzed using contour plots. A mathematical model was developed and validated for all the responses. The experimental results were compared with the predicted values. It was found that all the values have a maximum deviation of 3.5%. The ANOVA table reveals that the PC was the most influential factor followed by the current.