人工神经网络对烧结型Nd-Fe-B永磁合金配方的优化
THE OPTIMIZATION OF THE PRESCRIPTION OF Nd-Fe-B ALLOY USING THE NEURAL NETWORK
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摘要: 将人工神经网络方法应用于烧结型Nd-Fe-B永磁合金的配方优化设计。计算表明,适量添加Dy,V,Ti和Al等元素,能使该合金的磁性能明显提高。这一优化设计方法亦适合于其它合金设计。Abstract: The neural network method was applied to the optimization of the prescription of Nd-Fe-B alloy. The result of calculation illustrates that the magnetical properties of the alloy can be considerably improved when Dy. V, Ti, Al et al. was added properly. The method can be used to the optimization of other alloy design.
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