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Petr Šittner Ludek Heller Jan Pilch Caroline Curfs Thiery Alonso Denis Favier 《Journal of Materials Engineering and Performance》2014,23(7):2303-2314
Young’s moduli of superelastic NiTi wires in austenite and stress-induced martensite states were evaluated by three different experimental methods (tensile tests, in situ synchrotron x-ray diffraction, and dynamic mechanical analysis) and estimated via theoretical calculation from elastic constants. The unusually low value of the Young’s modulus of the martensite phase appearing in material property tables (<40 GPa) is generally ascribed in the literature to the fact that stress-driven martensitic transformation and/or twinning processes continue even beyond the transformation range and effectively decrease the value of the tangent modulus evaluated from macroscopic stress-strain curve. In this work, we claim that this low value is real in the sense that it corresponds to the appropriate combination of elastic constants of the B19′ martensite phase forming the polycrystalline wire. However, the Young’s modulus of the martensite phase is low only for wire loaded in tension, not for compression or other deformation modes. It is shown that the low value of the martensite Young’s modulus in tension is due to the combination of the unique coincidence of elastic anisotropy of the B19′ martensite characterized by the low elastic constant C55, austenite drawing texture, and strong martensite texture due to the martensite variant selection under tensile stress. 相似文献
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Yi-feng HU Wen DENG WEN-bo HAO Li YUE Le HUANG Yu-yang HUANG Liang-yue XIONG 《中国有色金属学会会刊》2006,16(6):1259-1262
1Introduction NiTi alloys are the most successful shape memory alloys as a result of their combination of good functional properties and excellent mechanical strength[1,2].The thermal and mechanical shape memory behavior in these alloys is dependent upon … 相似文献
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NiTi形状记忆合金的加工方法 总被引:8,自引:0,他引:8
对NiTi形状记忆合金的多种加工方法如锻造、热挤压、轧帛昨拉拔、冷加工、粉末成形、包套碎片挤压成形、溅射沉积加工等进行了详细介绍。 相似文献
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郝喜海 《热处理技术与装备》1992,(5)
研制了能评价线圈状NiTi形状记忆合金材料在一定载荷下热循环特性的试验装置,并利用该装置研究了相变点(Ms点、Af点)及形状回复量随着冷热交变循环的变化。结果表明,冷热交变50次时,相变点变化仅为几摄氏度。同时发现随着交变次数的增加形状回复量缓慢地变化。低温(Mf点以上)时变化量比高温(Af点以下)时大,而且载荷量越大变化量也越大。 相似文献
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Electropolishing has been used in NiTi alloy in several fields for its special characteristics, but its essential details and electropolishing mechanism have not been reported yet as a demand from business competition, which, to a great degree, restricts the application and extension of the electropolishing technology. The effect of processing parameters on nitinol electropolishing was explored. Besides the electrolyte, other factors that influence the electropolishing are temperature, current density, time, spacing between anode and cathode, electrolyte stirring, etc. Studies on the effect of the temperature on the electropolishing process show that the higher the temperature is, the bigger the electropolishing rate is, following the near Gauss law. The relationship between the temperature and the surface roughness follows a near parabolic law, and the relationship between the temperature and the surface reflectivity follows a near sigmoidal law. The relationship between the electropolishing voltage and the current density follows a near cubic law, while that between the electropolishing rate and current density follows a near linear law. The relationship between the electropolishing rate and the time follows a near sigmoidal law. The practical spacing between anode and cathode is confirmed by the Hall bath experiment. 相似文献
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研究了形状记忆合金线的热电行为。当合金线被加热到温度高于其相变温度时,由于相的转变而产生一个大的机械力。将 SMA 线用作驱动器,并研究了不同的参数及它们之间的关系。在不同的压力水平下,这些变化的参数分别是弹性应变(位移)、温度磁滞和电阻。通过传递热模型得到安全的加热电流并预测了相变温度。在自然空气对流的条件下,采用680 mA的电流加热、冷却合金线796 s。在43 MPa的应力水平下,应变恢复率为4.33%,相应的电阻变化为11.2%。在加热、冷却循环过程中,电阻变化与位移和电流分别呈线性关系。该研究有助于精确控制有、无外部传感器反馈的SMA线驱动器。 相似文献
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《稀有金属材料与工程》1993,10(2):22-23
近年来,在各式各样工业领域,进行形状记忆合金的应用开发,成为其主流的是NiTi系形状记忆合金。其用途有使用在汽车、家用电器制品上的感温阀、矫正齿列的超弹性齿列矫正丝及胸罩丝等。NiTi形状记忆合金作为金属网使用时,希望与各种材料复合化。因此超细丝化成为必要条件,但是,NiTi合金是金属间化合物,和不锈钢等铁系合 相似文献
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在Gleeble-1500热模拟机上进行热变形压缩试验,获得了NiTi形状记忆合金在不同应变速率和温度下的真应力-真应变实验数据及微观组织,根据实验数据基于BP神经网络建立模型对NiTi合金的高温变形进行预测。结果表明:随着应变速率的增加,TiNi合金的软化特性变得明显,模型的预测值与试验值误差较小,且预测精度和可靠度高。 相似文献