Application of artificial neural network to predict Vickers microhardness of AA6061 friction stir welded sheets
Author:
Publisher
Springer Science and Business Media LLC
Subject
Metals and Alloys,General Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11771-016-3271-1.pdf
Reference27 articles.
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3. RAJAKUMAR S, MURALIDHARAN C, BALASUBRAMANIAN V. Statistical analysis to predict grain size and hardness of the weld nugget of friction-stir-welded AA6061-Tn 6 aluminium alloy joints [J]. International Journal of Advanced Manufacturing Technology, 2011, 57(1/2/3/4): 151–165.
4. PENG D, SHEN J, TANG Q, WU C, ZHOU Y. Effects of aging treatment and heat input on the microstructures and mechanical properties of TIG-welded 6061-T6 alloy joints [J]. International Journal of Minerals, Metallurgy, and Materials, 2013, 20(3): 259–265.
5. OKUYUCU H, KURT A, ARCAKLIOGLU E. Artificial neural network application to the friction stir welding of aluminum plates [J]. Materials & Design, 2007, 28(1): 78–84.
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