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An Analytical and Numerical Model for a Piezoelectric Axially Driven Membrane Microcompressor for Optimum Scaled Down Design

机译:最佳比例缩小设计的压电轴向驱动膜式微压缩机的解析模型和数值模型

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摘要

A new and comprehensive analytical and numerical model for membrane microcompressors driven axially by a single lead zirconium titanate (PZT) stack actuator incorporating assembly variation errors was developed. The model can be used as a future design aid, to predict dynamic device performance as a function of error severity and as microcompressor dimensions are scaled down from the macro to micro scale. The major conclusion of this work was that since micro compressors can be made adjustable to achieve maximum compression ratio another factor besides assembly variation error reduces the achievable compression ratio. Other contributions included the following. First, an analytical method to predict the maximum pressure to within ~5% of that experimentally measured was developed. Second, a numerical method to predict the maximum pressure to within ~0.6% of that experimentally measured was developed. A useful result found was that for fixed actuator size, smaller membrane radii generate substantially higher pressures. Another useful result was that for fixed actuator size, thicker membranes and membrane materials with higher Youngu27s Modulus can generate substantially higher pressures. Further, maximum pressure is increased more dramatically by decreasing membrane radius than increasing membrane thickness and Youngu27s Modulus. Moreover, an analytical method to predict the compression ratio degradation factor as a function of assembly variation error to adjustable and fixed devices was presented. Covariance analysis was used to determine that the assembly variation error with the most influence on microcompressor performance was the angle of the actuator with respect to the horizontal axis of the device. It was shown that compression ratio is a function of this single net error parameter, and that this function is scale invariant.
机译:建立了一个新的,全面的分析和数值模型,该模型针对由单铅钛酸铅锆(PZT)堆驱动器轴向驱动的膜式微型压缩机,并结合了组件变化误差。该模型可以用作未来的设计辅助,以预测动态设备的性能,作为错误严重程度的函数,并且随着微压缩机尺寸从宏观到微观的缩小,该模型也可以用作模型。这项工作的主要结论是,由于可以使微型压缩机可调以实现最大压缩比,所以除了装配变化误差之外,还有另一个因素会降低可实现的压缩比。其他贡献包括以下内容。首先,开发了一种预测最大压力在实验测量值的5%以内的分析方法。其次,开发了一种数值方法来预测最大压力在实验测量值的约0.6%以内。发现有用的结果是,对于固定大小的执行器,较小的膜半径会产生更高的压力。另一个有用的结果是,对于固定大小的执行器,较厚的膜和具有较高杨氏模量的膜材料会产生更高的压力。此外,通过减小膜片半径比增加膜片厚度和杨氏模量可以最大程度地提高最大压力。此外,提出了一种分析方法,该方法可预测压缩比退化因子随可调和固定设备的装配变化误差而变化的函数。使用协方差分析确定对微型压缩机性能影响最大的组件变化误差是致动器相对于设备水平轴的角度。结果表明,压缩比是该单个净误差参数的函数,并且该函数是尺度不变的。

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    Simon Michael Jason;

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  • 年度 2011
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