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首页> 外文期刊>Journal of intelligent material systems and structures >Statistical Analysis of Terfenol-D Material Properties
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Statistical Analysis of Terfenol-D Material Properties

机译:Terfenol-D材料性能的统计分析

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This article focuses on the characterization of Terfenol-D material properties under magnetic bias, mechanical preloads, AC drive fields, frequencies of operation, and mechanical loads typical of many dynamic transducer applications. These are test conditions unlike those in most Terfenol-D characterization studies. The article also provides an explanation for prior experimental studies which suggest that significant variation in material properties are expected in Terfenol-D elements subjected to repeated tests under fixed operating conditions. Through a statistical framework for the design of experiments and data analysis, we conducted repeatability tests which demonstrate that such variations are likely to be due to imperfect control of the magnetic bias and mechanical preload from test to test, and not to intrinsic material behavior. Frequency response measurements from near DC to past the test transducer's fundamental frequency were combined with classical electroacoustics theory to determine the functional dependence of magnetoelastic properties with respect to varying operating regimes. These properties include two elastic moduli, piezomagnetic coefficient, magnetomechanical coupling coefficient, and two magnetic permeabilities. Analysis of variance (ANOVA) calculations were employed to determine 95 percent prediction and confidence intervals for the overall material property trends and coefficients of variation associated with the repeatability tests.
机译:本文着重介绍Terfenol-D材料在磁偏置,机械预紧力,AC驱动磁场,工作频率和许多动态换能器应用中典型的机械载荷下的性能。这些测试条件不同于大多数Terfenol-D表征研究中的条件。本文还为先前的实验研究提供了解释,这些实验表明在固定操作条件下进行重复测试的Terfenol-D元件的材料性能有望发生显着变化。通过用于设计实验和数据分析的统计框架,我们进行了可重复性测试,这些测试表明,这种变化很可能是由于测试与测试之间对磁偏置和机械预紧力的控制不完善,而不是由于固有的材料行为所致。从近DC到测试换能器基频的频率响应测量值与经典电声理论相结合,以确定磁弹性特性相对于不同工作方式的功能依赖性。这些特性包括两个弹性模量,压电系数,磁机械耦合系数和两个磁导率。方差分析(ANOVA)计算用于确定整体材料特性趋势和与重复性测试相关的变异系数的95%预测和置信区间。

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