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Twymann Green interferometry in study of A1N material as an actuation layer in MEMS

机译:Twymann绿色干涉测量研究A1N材料作为MEMS的致动层

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In this study we focus on the aluminium nitride (A1N). This material shows a large number of advantages associated with good piezoelectric properties. Therefore, A1N is an excellent candidate for MEMS actuation where low dielectric loss, low thermal drift and high signal-to-noise ratios are required. In this paper, the case of A1N driven cantilevers composed of three thin layers deposited on the silicon substrate will be considered. Precise knowledge of physical and material parameters of A1N applied in these simple elements are necessary for their further applications. However, up to now, A1N still represents a technological challenge and many of its micromechanical and piezoelectric properties are not precisely described. That is why, our study has been concentrated on determination of such parameters like the residual thin film stresses, thermal expansion coefficient a and piezoelectric coefficient d_(31). In this paper the interactions between the theoretical solution, the numerical FEM simulations and experimental results were performed. This hybrid methodology allows to identify the main source of behaviors discrepancy between the physical and numerical model of tested cantilevers. Obtained knowledge leads to optimization of the technological process and required parameters of actuator functionality achievement by better understanding of the tested microdevices properties. In experimental procedure, it was used nanoindentation tests for obtaining an elastic properties of A1N, interferometric techniques for performing the static and dynamic measurements of cantilevers and scanning electron microscope for measuring topography.
机译:在这项研究中,我们专注于氮化铝(A1N)。该材料显示出与良好压电性质相关的大量优点。因此,A1N是MEMS致动的优异候选者,其中需要低介电损耗,低热漂移和高信噪比。在本文中,将考虑由沉积在硅衬底上的三层组成的A1N驱动悬臂的情况。在这些简单元件中应用的A1n的物理和材料参数的精确知识对于其进一步的应用是必要的。然而,到目前为止,A1N仍然代表技术挑战,并且不精确地描述其许多微机械和压电性能。这就是为什么,我们的研究集中在剩余薄膜应力,热膨胀系数A和压电系数D_(31)等参数的测定。本文在理论解,数值有限元模拟和实验结果中进行了相互作用。这种混合方法允许识别测试悬臂的物理和数值模型之间的行为的主要来源。通过更好地理解测试的微生物特性,获得了知识能够优化执行器功能成果的技术过程和所需参数。在实验过程中,使用纳米肾脏试验来获得A1N,干涉式技术的弹性性能,用于执行悬臂和扫描电子显微镜的静态和动态测量来测量地形。

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