Articles with "aa2024 t351" as a keyword



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Computational Analysis and Artificial Neural Network Optimization of Dry Turning Parameters—AA2024-T351

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Published in 2017 at "Applied Sciences"

DOI: 10.3390/app7060642

Abstract: In dry turning operation, various parameters influence the cutting force and contribute in machining precision. Generally, the numerical cutting models are adopted to establish the optimum cutting parameters and results are substantiated with the experimental… read more here.

Keywords: turning parameters; aa2024 t351; parameters aa2024; dry turning ... See more keywords
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Influence of Welding Speed on Fracture Toughness of Friction Stir Welded AA2024-T351 Joints

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Published in 2021 at "Materials"

DOI: 10.3390/ma14061561

Abstract: In order to ensure a quality welded joint, and thus safe operation and high reliability of the welded part or structure achieved by friction stir welding, it is necessary to select the optimal welding parameters.… read more here.

Keywords: speed; aa2024 t351; welding speed; friction stir ... See more keywords