Improvmemnt of Properties of Ferromagnetic Shape Memory Alloys by Addition of Rare Earth Elements and Mechanism of Giant Magnetostriction

添加稀土元素改善铁磁形状记忆合金性能及巨磁致伸缩机制

基本信息

  • 批准号:
    15560605
  • 负责人:
  • 金额:
    $ 1.98万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 财政年份:
    2003
  • 资助国家:
    日本
  • 起止时间:
    2003 至 2004
  • 项目状态:
    已结题

项目摘要

Large magnetically induced strain of a few % has been reported for martensitic phase in ferromagnetic shape memory alloys, caused by rearrangement of martensitic twins. In order to improve the output power by this mechanism it is necessary to increase saturation magnetization and magnetic anisotropy and to decrease twinning stress.In the present investigation, effect of addition of rare earth elements on phase transformation, saturation magnetization and mechanical properties was studied. Ingots of alloys based on Ni-Mn-Ga with addition of rare earth elements such as Sm,Nd,Tb,Gd were prepared by argon arc melting furnace. Ingots were homogenized and quenched into water. Phase transformation temperatures were measured by DSC. Magnetization was measured by VSM. Microstructural observations were made by SEM and TEM. Mechanical properties were measured by compression test at room temperature. Magnetic domain structures were observed by TEM using Lorentz method.Martensitic transformation te … More mperatures, Curie temperatures exhibit systematic dependence on valence electron concentration similar to that in Ni-Mn-Ga ternary alloys. However in the case of Gd added alloys exhibit lower martensitic transformation temperatures and Curie temperatures. Saturation magnetization in rare earth containing alloys was higher than the ternary alloy. This tendency was significant in Nd added alloys.It was found that compressive ductility can be significantly improved by the addition of rare earth elements. SEM and TEM observations revealed that the second phase containing about 15at% of rare earth elements exists at low angle and high angle boundaries. These second phase precipitates maybe responsible for the improved mechanical property.Results of Lorentz observations revealed magnetic domains walls in martensite twin plates are mainly 180 degree walls. In addition, twin boundaries give rise to the contrast similar to magnetic domain walls. This is due to the high magnetic anisotropy energy in the tetragonal martensite. The observed results support the previously proposed models of the large magnetic strain. Less
在铁磁形状记忆合金中,马氏体相由于马氏体孪晶的重排而产生了几个百分点的磁致应变。为了提高这种机制的输出功率,必须提高饱和磁化强度和磁各向异性,降低孪晶应力。本文研究了稀土元素对相变、饱和磁化强度和力学性能的影响。采用氩弧熔炼法制备了以Ni-Mn-Ga为基,添加Sm、Nd、Tb、Gd等稀土元素的合金锭。将锭料均质化并在水中淬火。通过DSC测量相变温度。通过VSM测量磁化强度。用扫描电镜和透射电镜观察了显微组织。在室温下通过压缩试验测量机械性能。用Lorentz方法观察了样品的磁畴结构,并对马氏体相变过程进行了分析。 ...更多信息 居里温度对价电子浓度的依赖性与Ni-Mn-Ga三元合金相似。然而,在添加Gd的情况下,合金表现出较低的马氏体相变温度和居里温度。含稀土合金的饱和磁化强度高于三元合金。结果表明,稀土元素的加入能显著提高合金的压缩塑性。扫描电镜和透射电镜观察表明,在小角度和大角度晶界处均存在稀土含量约为15at%的第二相。Lorentz观测结果表明马氏体孪晶板中的磁畴壁主要为180度壁。此外,孪晶界引起的对比度类似于磁畴壁。这是由于在四方马氏体中的高磁各向异性能。观测结果支持了先前提出的大磁应变模型。少

项目成果

期刊论文数量(28)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
掛下知行, 土谷浩一, 及川勝成: "磁場誘起巨大歪みを示す強磁性形状記憶合金の開発"ふぇらむ. 8. 140-142 (2003)
Tomoyuki Kakeshita、Koichi Tsuchiya、Katsunari Oikawa:“表现出磁场诱导巨大应变的铁磁形状记忆合金的开发”Ferrum。8. 140-142 (2003)
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
強磁性形状記憶合金マルテンサイト相における双晶と磁区構造の関係
铁磁形状记忆合金马氏体相孪晶与磁畴结构的关系
  • DOI:
  • 发表时间:
    2004
  • 期刊:
  • 影响因子:
    0
  • 作者:
    土谷浩一;山本和生;平山司;梅本実
  • 通讯作者:
    梅本実
Correlation between Twins and Magnetic Domains in Martensitic Phase in Ferromgnetic Shape Memory Alloy
铁磁形状记忆合金马氏体相孪晶与磁畴的相关性
  • DOI:
  • 发表时间:
    2004
  • 期刊:
  • 影响因子:
    0
  • 作者:
    K.Tsuchiya;K.Yamaoto;T.Hirayama;M.Umemoto
  • 通讯作者:
    M.Umemoto
K.Tsuchiya, T.Nojiri, H.Ohtsuka, M.Umemoto: "Effect of Co and Ni on Martensitic Transformation and Magnetic Properties in Fe-Pd Ferromagnetic Shape Memory Alloys"Mater.Trans.. 44. 2499-2502 (2003)
K.Tsuchiya、T.Nojiri、H.Ohtsuka、M.Umemoto:“Co 和 Ni 对 Fe-Pd 铁磁形状记忆合金中马氏体相变和磁性的影响”Mater.Trans.. 44. 2499-2502 (2003)
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
K.Tsuchiya, A.Tsutsumi, H.Ohtsuka, M.Umemoto: "Modification of Ni-Mn-Ga Ferromagnetic Shape Memory Alloy by Addition of Rare Earth Elements"Mater.Sci.Eng., A. (To be published). (2004)
K.Tsuchiya、A.Tsutsumi、H.Ohtsuka、M.Umemoto:“通过添加稀土元素对 Ni-Mn-Ga 铁磁形状记忆合金进行改性”Mater.Sci.Eng.,A.(待出版)。
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  • 发表时间:
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  • 影响因子:
    0
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TSUCHIYA Koichi其他文献

TSUCHIYA Koichi的其他文献

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{{ truncateString('TSUCHIYA Koichi', 18)}}的其他基金

Amorphization/Nanocrystallization of Shape Memory Alloys and Mechanism of Phase Transformation
形状记忆合金的非晶化/纳米化及相变机制
  • 批准号:
    17360312
  • 财政年份:
    2005
  • 资助金额:
    $ 1.98万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Correlation between spinodal decomposition and shape memory effect in γ-Mn alloys.
γ-Mn合金中旋节线分解与形状记忆效应之间的相关性。
  • 批准号:
    11650679
  • 财政年份:
    1999
  • 资助金额:
    $ 1.98万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)

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    2023
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Structural Assessment and Repair of Superelastic-Shape-Memory-Alloy Reinforced-Concrete Framed Structures Following Exposure to Seismic and/or Fire Events
暴露于地震和/或火灾事件后超弹性形状记忆合金钢筋混凝土框架结构的结构评估和修复
  • 批准号:
    RGPIN-2020-04792
  • 财政年份:
    2022
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Smart Structures using Shape Memory Alloy and Carbon Nanofibers Ultra-High Performance Concrete
使用形状记忆合金和碳纳米纤维超高性能混凝土的智能结构
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Performance-based Seismic Design of Novel Shape Memory Alloy (SMA) based Braced Frame
新型形状记忆合金(SMA)支撑框架的基于性能的抗震设计
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    Postgraduate Scholarships - Doctoral
Study on magnetic structure analysis and modeling in the nano twin boundary of magnetic shape memory alloy
磁性形状记忆合金纳米孪晶界磁结构分析与建模研究
  • 批准号:
    21KK0083
  • 财政年份:
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Seismic resilience assessment of smart bridges with Shape Memory Alloy
形状记忆合金智能桥梁的抗震能力评估
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    563916-2021
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Guiding principle of long-life shape memory alloy by controlling domain structure and strengthening
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    21H04613
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    2021
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    $ 1.98万
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    Grant-in-Aid for Scientific Research (A)
Development of high-power tactile display for presenting tactile sensation and directional navigation using shape memory alloy thick film
利用形状记忆合金厚膜开发用于呈现触觉和定向导航的高功率触觉显示器
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使用形状记忆合金和碳纳米纤维超高性能混凝土的智能结构
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