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- W2359137254 abstract "By means of experimentally investigation of low-cycle fatigue of friction-stir welded joints of aviation aluminum alloy 7075-7651 with thickness of 5 mm and according to the experiment data obtained,a prediction model of fatigue life of the joints was built up on the basis of the BP algorithm of artificial neural network.By using it,the fatigue life of the welding joints with different processing parameters was predicted.It was shown by the comparison of the predicted data to those of experiments that they were well consistent with each other,so that the time consumed on the investigation of the fatigue life of such joints was saved by using this model." @default.
- W2359137254 created "2016-06-24" @default.
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- W2359137254 date "2008-01-01" @default.
- W2359137254 modified "2023-09-25" @default.
- W2359137254 title "Fatigue life prediction of friction-stir welding joints of aluminum alloy 7070-7651 based on BP algorithm of neural network" @default.
- W2359137254 hasPublicationYear "2008" @default.
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