| 1 | PREDICTION OF FLOW STRESS OF HIGH-SPEED STEEL DURING HOT DEFORMATION BY USING BP ARTIFICIAL NEURAL NETWORK显示文摘The hot deformation behavior of TI (18W-4Cr-1V) high-speed steel was investigated by means of continuous compression tests performed on Gleeble 1500 thermomechan- ical simulator in a wide range of tempemtures (950℃-1150℃) with strain rotes of 0.001s-1-10s-1 and true strains of 0-0. 7. The flow stress at the above hot defor- mation conditions is predicted by using BP artificial neural network. The architecture of network includes there are three input parameters:strain rate,temperature T and true strain , and just one output parameter, the flow stress ,2 hidden layers are adopted, the first hidden layer includes 9 neurons and second 10 negroes. It has been verified that BP artificial neural network with 3-9-10-1 architecture can predict flow stress of high-speed steel during hot deformation very well. Compared with the prediction method of flow stress by using Zaped-Holloman parumeter and hyperbolic sine stress function, the prediction method by using BP artificial neurul network has higher efficiency and accuracy. | J. T. Liu H.B. Chang R.H. Wu T. Y. Hsu(Xu Zuyao) and X.R. Ruan( 1)Department of Plasticity Technology, Shanghai Jiao Tong University, Shanghai 200030, China 2)School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200030, | 2000 | Acta Metallurgica Sinica(English Letters)2000，13，1： | 2 |
| 5 | INFLUENCE OF Ge ON THE ANTIFERROMAGNETIC TRANSITION AND γ→ε MARTENSITIC TRANSFORMATION OF Fe-24Mn ALLOYS显示文摘The aims of the work were to study the effect of Ge (0-6wt. %) on the paramagnetic-antiferromagnetic transition and martensitic transformation of Fe-Mn alloy using the susceptibility, microstructure examination, X-ray diffraction (XRD) and lattice parameter measurement. Ge lowers the Neel temperature, TN, and enhances the mag-netic susceptibility X, changing the Pauli paramagnetism above TN to paramagnetism state obeying the Curie Weiss law, which is essentially similar to that of γ-Fe-Mn alloys containing Al or Si; Ge depresses γ → ε martensitic transformation, which attribute to Ge increasing the stacking fault energy; Moreover, Ge increases the lat-tice parameter of 7 phase, and low content Ge increases the lattice parameter of γphase more than that of high Ge content. Comparing Ge(4s2 4p2 ) with Si(3s2 3p2 ) and Al(3s2 3p1), which have the same outer-shell of electron structures, we found that their effects on the martensitic transformation of Fe-Mn alloy are completely different. The result suggests the outer-shell of electron is not the main factor of governing the Ms temperature of Fe-Mn alloy although it is essential in the alloy's antiferromagnetic transition. The relation among the Ms temperature, stacking fault energy and lattice parameter of austenite, has been discussed in brief. | B. Zhang, X. Lu Z.X. Qin, H.B. Chang and X.Y. RuanDepartment of Plastic Deforming, Shanghai Jiaotong University, Shanghai 200030, ChinaDepartment of Materials Science & Engineering, Dalian Railway Institute, Dalian 116028, China | 2002 | Acta Metallurgica Sinica(English Letters)2002，15，6： | 0 |
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