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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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Velmurugan, C.
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Publications (3/3 displayed)
- 2023EXPERIMENTAL INVESTIGATION ON MECHANICAL PROPERTIES OF FDM-BASED NYLON CARBON PARTS USING ANN APPROACHcitations
- 2022Mathematical modelling of machining performance during dry face milling of AA5052/tungsten carbide/graphite hybrid compositecitations
- 2021EFFECTS OF PARTICLE SIZE AND SINTERING TEMPERATURE ON SUPERELASTICITY BEHAVIOR OF NiTi SHAPE MEMORY ALLOY USING NANOINDENTATIONcitations
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document
Mathematical modelling of machining performance during dry face milling of AA5052/tungsten carbide/graphite hybrid composite
Abstract
Face milling is one of the commonly used industrial processes for machining flat surfaces quickly and in a precise way. The present investigation aims at the fabrication of AA 5052 hybrid composite, with weight fractions 10 % of WC particles and 4 % graphite particles as reinforcements and investigates the effect of cutting parameters on the face milling performance. The experimental plan was made using the Taguchi L9 orthogonal array (OA). The face milling performance of the hybrid composites was quantitatively estimated by recording the values of average surface roughness, RMS surface roughness, ten point height of irregularities, radial thrust force, tangential cutting force, feed force and work-tool interface temperature. The aluminium hybrid composite was fabricated using the cost effective liquid metallurgy method, commonly termed as stir casting. Scanning Electron Microscopy was applied for the micro structural evaluation of the hybrid composites and the elemental composition was analysed using the Energy Dispersive Spectroscopy. Non-linear, statistically adequate mathematical models were developed for all the output responses.