现代制造工程 ›› 2018, Vol. 450 ›› Issue (3): 19-22.doi: 10.16731/j.cnki.1671-3133.2018.03.004

• 实验研究 • 上一篇    下一篇

磁控形状记忆合金温度与磁感应强度 关系模型研究

涂福泉,胡升谋,庄羽航,吕杰,王云学   

  1. 武汉科技大学机械自动化学院冶金装备与控制教育部重点实验室,武汉 430081
  • 收稿日期:2016-11-26 出版日期:2018-03-20 发布日期:2018-07-19
  • 作者简介:胡升谋,硕士研究生,研究方向为智能材料与微机电。 E-mail:1506959593@qq.com
  • 基金资助:
    国家自然科学基金项目(51274155);湖北省自然科学基金项目(2015CFA114)

Research on relationship model between temperature and magnetic induction intensity of magnetically controlled shape memory alloy

Tu Fuquan,Hu Shengmou,Zhuang Yuhang,Lü Jie,Wang Yunxue   

  1. Key Laboratory of Metallurgical Equipment and Control,Ministry of Education,School of Machinery and Automation,Wuhan University of Science and Technology,Wuhan 430081,China
  • Received:2016-11-26 Online:2018-03-20 Published:2018-07-19

摘要: 磁控形状记忆合金(Magnetically Controlled Shape Memory Alloy,MSMA)作为一种新型的传感器材料,具有灵敏度高、响应速度快和能量密度高等特性。目前,研究人员对温度和磁感应强度之间的关系模型还未形成统一明确的认识,无法确定温度对磁感应强度的影响大小,而磁感应强度的幅度变化决定了传感特性的灵敏度,因此限制了MSMA材料在超精密传感器领域中的应用。在分析现有求解曲线关系模型方法的基础上,采用了多项式回归方法求解温度与磁感应强度的关系模型。结果表明,采用多项式回归方法得出的温度与磁感应强度的关系模型的拟合精度很高,方法可行。

关键词: 磁控形状记忆合金, 温度, 磁感应强度, 多项式回归

Abstract: As a new type of sensor material,Magnetically Controlled Shape Memory Alloy (MSMA) has high sensitivity,fast response,high energy density and so on.On the one hand,the researchers have not yet a unified understanding for the relationship model between the temperature and the magnetic induction intensity,so that they are unable to determine the effect of temperature on the magnetic induction intensity;on the other hand,the magnitude of magnetic induction intensity changes determine the characteristics of sensitivity,thus the application of MSMA material is limited in the field of ultra-precision sensor.On the basis of analyzing the existing methods of curve relationship model,the relationship model between temperature and magnetic induction intensity is solved by polynomial regression method.The results show that the fitting accuracy of the model is very high,which proves the feasibility of the polynomial regression method.

Key words: magnetically controlled shape memory alloy, temperature, magnetic induction intensity, polynomial regression

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