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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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Fragassa, Cristiano
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Topics
Publications (8/8 displayed)
- 2024A Hybrid Design of Experiment Approach in Analyzing the Electrical Discharge Machining Influence on Stir Cast Al7075/B4C Metal Matrix Compositescitations
- 2024Effect of Stacking Sequence on Mechanical and Water Absorption Characteristics of Jute/Banana/Basalt Fabric Aluminium Fibre Laminates With Diamond Microexpanded Meshcitations
- 2024Prevention of Biofouling Due to Water Absorption of Natural Fiber Composites in the Aquatic Environment: A Critical Reviewcitations
- 2020Performance evaluation of cord material models applied to structural analysis of tires
- 2020Effect of the stacking sequence on the impact response of carbon-glass/epoxy hybrid compositescitations
- 2019Damage characterization of nano-interleaved CFRP under static and fatigue loadingcitations
- 2016Effect of Natural Fibers and Bio-Resins on Mechanical Properties in Hybrid and Non-Hybrid Compositescitations
- 2015Improving performance and applicability of green composite materials by hybridization
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article
A Hybrid Design of Experiment Approach in Analyzing the Electrical Discharge Machining Influence on Stir Cast Al7075/B4C Metal Matrix Composites
Abstract
<jats:p>The present work centers on aluminum-based metal matrix composites (AMCs), synthesized via stir casting and then processed by electrical discharge machining (EDM) in the case of Al7075 as a matrix and 6 wt.% boron carbide (B4C) as reinforcement. A design of experiment (DoE) approach, powered by hybrid optimization techniques (such as the entropy weight method (EWM), grey relational analysis (GRA) incorporated Taguchi method) was used to investigate the relationship between current (I), pulse ON time (Ton), pulse OFF time (Toff), and electrode gap (Gap) as input parameters and the material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR) as response parameters. The results showed that an I = 140 A, Ton = 120 ms, Toff = 50 ms, and Gap = 0.4 mm combination gives the best response parameters of MRR = 0.5628 mm3/min, TWR = 0.0048 mm3/min, and SR = 4.4034 μs.</jats:p>