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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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Selvarajan, L.
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Publications (4/4 displayed)
- 2024Analysis of Cast Aluminium-Zinc Alloy Surface Fatigue Crack Formation Growth Characteristics
- 2024Microstructure, Precipitation and Micro-segregation in Inconel 825 Weldments: A Comparative study between GTAW and EBWcitations
- 2015Optimization of EDM Hole Drilling Parameters in Machining of <font>MoSi</font><sub>2</sub>-<font>SiC</font> Intermetallic/Composites for Improving Geometrical Tolerancescitations
- 2014Multi-Objective Optimization on Electric Discharge Machining Using by Grey Relational Analysiscitations
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article
Optimization of EDM Hole Drilling Parameters in Machining of <font>MoSi</font><sub>2</sub>-<font>SiC</font> Intermetallic/Composites for Improving Geometrical Tolerances
Abstract
<jats:p> Intermetallic/ceramic composites with multiple responses are based on L<jats:sub>18</jats:sub> orthogonal array with gray relational analysis (GRA). This paper presents a new approach for the optimization of drilling parameters on drilling MoSi <jats:sub>2</jats:sub>– SiC composites. Optimal machining parameters can then be determined by the gray relational grade as the performance index. In this study, the sparking parameters namely current (I), pulse on time (t<jats:sub> on </jats:sub>), pulse off time (t<jats:sub> off </jats:sub>), spark gap and dielectric flushing pressure (P) are optimized with considerations of multiple performance characteristics including multi responses such as material removal rate (MRR), electrode wear rate (EWR), circularity (CIR), cylindricity (CYL), perpendicularity (PER). A gray relational grade obtained from the GRA is used to solve the electrical discharge machining (EDM) process with the multiple performance characteristics. Based on the gray relational grade, optimum levels of parameters have been identified and significant contribution of parameters is determined by ANOVA. Confirmation test is conducted to validate the test result. Experimental results have shown that the responses in EDM drilling process can be improved effectively through the new approach. </jats:p>