| People | Locations | Statistics |
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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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Senthilkumar, V.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2023Thermal Adsorption and Corrosion Characteristic Study of Copper Hybrid Nanocomposite Synthesized by Powder Metallurgy Routecitations
- 2021EFFECTS OF PARTICLE SIZE AND SINTERING TEMPERATURE ON SUPERELASTICITY BEHAVIOR OF NiTi SHAPE MEMORY ALLOY USING NANOINDENTATIONcitations
- 2021Generative Design and Topology Optimization of Analysis and Repair Work of Industrial Robot Arm Manufactured Using Additive Manufacturing Technologycitations
- 2014Modelling and Analysis of Electrical Discharge Alloying through Taguchi Techniquecitations
- 2014Development of carbide intermetallic layer by electric discharge alloying on AISI-D2 tool steel and its wear resistancecitations
- 2012Mathematical Modeling of Machining Parameters in Electrical Discharge Machining with Cu-B<sub>4</sub>C Composite Electrodecitations
- 2012Prediction of flow stress during hot deformation of MA'ed hybrid aluminium nanocomposite employing artificial neural network and Arrhenius constitutive modelcitations
- 2011Constitutive Modeling for the Prediction of Peak Stress in Hot Deformation Processing of Al Alloy Based Nanocompositecitations
- 2008Influence of titanium carbide particles addition on the forging behaviour of powder metallurgy composite steelscitations
- 2007Some Aspects on Hot Forging Features of P/M Sintered High-Strength Titanium Carbide Composite Steel Preforms Under Different Stress State Conditionscitations
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article
Modelling and Analysis of Electrical Discharge Alloying through Taguchi Technique
Abstract
<jats:p>Electrical discharge alloying was performed on AISI D2 tool steel with addition of nickel powder. Taguchi method has been used to plan and analysis the experiment.The major parameters like Peak current, pulse on time, and pulse off are taken for this study for formation of alloyed layer. The influences of these process parameters have been identified by Signal to noise ratio (S/N) and analysis of variance (ANOVA) and their results are within the limits of predicted and experimental values. The experiments were conducted on a specially designed apparatus in laboratory itself. The layer thickness varies from 70 to 140 μm and the highest hardness value of 1788 HV0.3 with a lower specific wear rate.</jats:p>