Actuation Modeling of a Microfluidically Reconfigurable Radiofrequency Device

Behzad Parsi, Jason B Metten, Clinton Waite, Daniel Maynes, Nathan B. Crane
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Abstract

Microfluidic-based techniques have been shown to address limitations of reconfigurable radio frequency (RF) antennas and filters in efficiency, power handling capability, cost, and frequency tuning. However, the current devices suffer from significant integration challenges associated with packaging, actuation, and control. Recent advances in reconfigurable microfluidics that utilize the motion of a selectively metalized plate (SMP) for RF tuning have demonstrated promising RF capabilities but have exposed a need for an accurate fluid actuation model. This research presents a model for the mechanical motion of a moving plate in a channel to relate the SMP size, microfluidic channel size, velocity, and inlet pressure. This model facilitates understanding of the actuation response of an RF tuning system based on a moving plate independent of the actuation method. This model is validated using a millimeter-scale plate driven by a gravitational pressure head as a quasi-static pressure source. Measurements of the prototyped device show excellent agreement with the analytical model; thus, the designer can utilize the presented model for designing and optimizing a microfluidic-based reconfigurable RF device and selecting actuation methods to meet desired outcomes. To examine model accuracy at device scale, recent papers in the microfluidics reconfigurable RF area have been studied, and excellent agreement between our proposed model and the literature data is observed.
微流体可重构射频设备的激励建模
基于微流体的技术已经证明可以解决可重构射频(RF)天线和滤波器在效率、功率处理能力、成本和频率调整方面的局限性。然而,目前的设备在封装、驱动和控制方面面临着巨大的集成挑战。最近,利用选择性金属化板(SMP)运动进行射频调谐的可重构微流控技术取得了进展,显示出良好的射频能力,但也暴露出对精确流体驱动模型的需求。本研究提出了一个通道中移动板的机械运动模型,该模型将 SMP 尺寸、微流体通道尺寸、速度和入口压力联系起来。该模型有助于理解基于移动板的射频调谐系统的致动响应,而与致动方法无关。使用重力压头作为准静态压力源驱动的毫米级平板对该模型进行了验证。原型设备的测量结果表明与分析模型非常吻合;因此,设计人员可以利用所提出的模型设计和优化基于微流体的可重构射频设备,并选择驱动方法以达到预期结果。为了检验模型在设备尺度上的准确性,我们研究了微流控可重构射频领域的最新论文,发现我们提出的模型与文献数据非常吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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