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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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Rajan, T. P. D.
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Topics
Publications (8/8 displayed)
- 2023Development of an oxyresveratrol incorporated bio-based smart nanocomposite coating with anti-corrosive, self-healing, and anti-microbial propertiescitations
- 2017Optimization of drilling process on Al-SiC composite using grey relation analysis
- 2015Structure and Properties of Electroless Cu and Ni-B Coated B 4 C particle dispersed Aluminum Composites by Powder Metallurgy Technique,citations
- 2015Ultrasonic-Assisted Electroless Coating of Ni-B Alloy and Composites on Aluminum Alloy Substratescitations
- 2015Micropatterning of Polystyrene-Alumina Nanocomposite Film by Non-Solvent Induced Phase Separation
- 2015Processing of Porous Ceramics Using Aluminium Derived Binders and Sacrificial Porogen Leaching Method
- 2015Optimization of drilling process on Al-SiC composite using grey relation analysiscitations
- 2012Formation of Electroless Ni-B Coating on Boron Carbide Particles for Composite Processingcitations
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article
Optimization of drilling process on Al-SiC composite using grey relation analysis
Abstract
<jats:p>This study reveals the multi objective optimization of machining parameters in drilling of SiC reinforced with aluminium metal matrix composites through grey relational analysis. The composite is prepared with varying volume fraction of the reinforcement by liquid metal stir casting technique. Uniform distribution of SiC particle in the matrix is witnessed through microscopy study and observed that the hardness and strength on different composite. The drilling experiments were performed with coated carbide tool with different point angle such as 90o, 120o and 140o. Cutting speed, feed, point angle and volume fraction are considered as input parameters and the performance characteristics such as surface roughness and thrust force are observed as output response in this study. The significant contributions of these factors are determined using Analysis of Variance (ANOVA). The optimized process parameters have been validated by the confirmation test. The experimental result shows that point angle influences more on output performance followed by feed and cutting speed.</jats:p>