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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications >Relationships between martensite transformation temperatures and compositions in Fe-Mn-Si-based shape memory alloys
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Relationships between martensite transformation temperatures and compositions in Fe-Mn-Si-based shape memory alloys

机译:Fe-Mn-Si基形状记忆合金中马氏体转变温度与成分的关系

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摘要

The correlation between γ ↔ ϵ martensite transformation temperatures (Ms, As), the thermal hysteresis (As - Ms) and the alloy compositions has been determined by using the multiple linear regression method based on existing experimental data for Fe-Mn-Si-based shape memory alloys. The empirical quantitative equations are: Ms (K) = 282 - 6.3Mn + 37.2Si - 8.1Cr - 6.3Ni; As (K) = 502 - 5.1Mn + 7.8Si - 4.3Cr - 9.2Ni; As - Ms (K) = 220 + 1.2Mn - 29.4Si + 3.8Cr - 2.9Ni (the alloy compositions are in weight per cent.) It has been demonstrated that the addition of Mn, Cr and Ni tends to lower the martensite transformation temperatures, but Si tends to increase them markedly. This agrees quite well with previous results which indicate that Mn, Cr and Ni increase the stacking fault energy of these alloys while Si decreases it. Moreover, the transformation thermal hysteresis decreases with increasing Si and Ni concentration but increases with increasing Cr and Mn content. The above-mentioned results are very useful for the composition design of this type of alloy.
机译:γϵ马氏体转变温度(M s ,A s )与热滞后(A s -M s)的相关性),并且基于现有的基于Fe-Mn-Si的形状记忆合金的实验数据,使用多元线性回归方法确定了合金成分。经验定量方程为:M s (K)= 282-6.3Mn + 37.2Si-8.1Cr-6.3Ni; A s (K)= 502-5.1Mn + 7.8Si-4.3Cr-9.2Ni; A s -M s (K)= 220 + 1.2Mn-29.4Si + 3.8Cr-2.9Ni(合金成分按重量百分比计)结果表明,添加Mn,Cr和Ni会降低马氏体相变温度,而Si会显着提高马氏体相变温度。这与先前的结果非常吻合,后者表明Mn,Cr和Ni会增加这些合金的堆垛层错能,而Si会降低其。而且,相变热滞随Si和Ni浓度的增加而减小,但随Cr和Mn含量的增加而增加。上述结果对于这种合金的成分设计非常有用。

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