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- W2373720007 abstract "It is very difficult to predict the mechanical properties of welding joints by building phase transition model.Aiming at this problem,the application of neural network technology in predicting mechanical properties of welding joints is developed.Firstly,the dates of five kinds of Low-alloy steels mechanical properties under different welding thermal cycle which used to train and test the neural network have been obtained by welding thermal simulator.After that,a neural network model was established and its parameters optimized by the method of uniform design.The experimental results show that this model can predict the mechanical properties include impact toughness,tensile strength,subdued strength,reduction ratio of area and hardness more accurately." @default.
- W2373720007 created "2016-06-24" @default.
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- W2373720007 date "2009-01-01" @default.
- W2373720007 modified "2023-09-23" @default.
- W2373720007 title "Predication of mechanical properties for low-alloy steel welding joints based on neural network" @default.
- W2373720007 hasPublicationYear "2009" @default.
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