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Song, K.J.,Ko, R.K.,Kim, H.S.,Ha, H.S.,Ha, D.W.,Oh, S.S.,Park, C.,Yoo, S.-I.,Kim, M.W.,Kim, C.J.,Joo, J.H. Institute of Electrical and Electronics Engineers 2007 IEEE transactions on applied superconductivity Vol.17 No.2
<P>The degree of ferromagnetism of Ni-W<SUB>y</SUB> alloys decreases as W-content y increases. Both the saturation magnetization <I>M</I> <SUB>sat</SUB> and Curie temperature <I>T</I> <SUB>c</SUB> decrease linearly with W-content y, and both <I>M</I> <SUB>sat</SUB> and <I>T</I> <SUB>c</SUB> go to zero at critical concentration of y<SUB>c</SUB> ~9.50 at.% W. To compare with Ni-W alloys, the magnetic properties of a series of both as-rolled (non-textured) and annealed (biaxially textured) [Ni<SUB>97at.%</SUB>-W<SUB>3at.%</SUB>]<SUB>100-x</SUB>-Cu<SUB>x</SUB> alloy tapes with compositions x = 0, 1, 3, 5, and 7 at.%, were studied. Characterization methods included XRD analyses to investigate the biaxial texturing of the annealed [Ni-W]-Cu alloy tapes and studies of the magnetization for both as-rolled and annealed [Ni-W]-Cu alloy tapes. Both the isothermal mass magnetizations <I>M</I>(<I>H</I>) of a series of samples at different fixed temperatures and <I>M</I>(<I>T</I>) in fixed field, were measured. The effect of Cu addition on both the saturation magnetization and Curie temperature T<SUB>c</SUB> of the Ni<SUB>97at.%</SUB>-W<SUB>3at.%</SUB> alloy was investigated.</P>
Modelling high temperature oxidation behaviour of Ni-Cr-W-Mo alloys with Bayesian neural network
Yun, D.W.,Seo, S.M.,Jeong, H.W.,Kim, I.S.,Yoo, Y.S. Elsevier Sequoia 2014 JOURNAL OF ALLOYS AND COMPOUNDS Vol.587 No.-
High temperature oxidation property of Ni-Cr-W-Mo alloys is modelled as a function of alloy composition. A database has been constructed from cyclic oxidation experiments performed between 1150<SUP>o</SUP>C and 400<SUP>o</SUP>C of 27 alloys having various contents of Cr, W, and Mo. The Bayesian neural network technique was used for the modelling of cyclic oxidation experiments. With a 3-17-1 neural network architecture, the model shows a precise prediction of oxidation property of Ni-Cr-W-Mo alloys (R=0.999). Automatic relevance determination (ARD) analysis reveals that the influence of alloying elements on the output is in the order of Cr, Mo, and W.