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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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Vasantha Kumar, K. P.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (3/3 displayed)
- 2023Multiple Response Optimization of Dissimilar Friction Stir Welding on 6061-T6 Aluminum Alloy and AZ31B Magnesium Alloycitations
- 2022Optimization of FSW Processing Factors on Hardness for Dissimilar AA6061-T6 and AZ31B O Alloyscitations
- 2015Evaluation of Cutting Force and Surface Roughness in Turning of GFRP Using Coated Carbide Insertcitations
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article
Optimization of FSW Processing Factors on Hardness for Dissimilar AA6061-T6 and AZ31B O Alloys
Abstract
<jats:p>In modern industries, such as aerospace, automotive, marine and others, aluminium and magnesium alloys are the most frequently used non-ferrous materials. This paper discusses optimising processing factors to produce a high hardness of dissimilar Al/Mg alloys. The experiment was designed and conducted by varying input factors according to response surface methodology-central composite design. The regression model has been developed between the processing factor and hardness based on the results of the experiment. ANOVA is used to validate the regression model and to assess the percentage of each hardness factor’s contribution. Finally, the desirability approach is used to optimise the processing factor for high hardness.</jats:p>