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Infrared Micro-Particle Image Velocimetry of Fluid Flow in Silicon-Based Microdevices

机译:硅基微器件中流体流动的红外微颗粒图像测速

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摘要

A non-intrusive diagnostic technique, infrared micro-particle image velocimetry (IR-PIV), is developed for measuring flow fields within MEMS devices with micron-scale resolution. This technique capitalizes on the transparency of silicon in the infrared region, and overcomes the limitation posed by the lack of optical access with visible light to sub-surface flow in silicon-based micro-structures. Experiments with laminar flow of water in a circular micro-capillary tube of hydraulic diameter 255 μm demonstrate the efficacy of this technique. The experimental measurements agree very well with velocity profiles predicted from laminar theory. Cross-correlation and auto-correlation algorithms are employed to measure very-low and moderate-to-high velocities, respectively; the former approach is suitable for biomedical applications while the latter would be needed tor measurements in electronics cooling. The results indicate that the IR-PIV technique effectively extends the application of regular micro-PIV techniques, and has great potential for flow measurements in silicon-based microdevices.
机译:开发了一种非侵入式诊断技术,即红外微粒图像测速技术(IR-PIV),用于以微米级分辨率测量MEMS设备内的流场。该技术利用了硅在红外区域的透明性,并克服了由可见光对硅基微结构中的次表面流缺乏光学通道所造成的限制。在水力直径为255μm的圆形微毛细管中进行层流水实验,证明了该技术的有效性。实验测量与层流理论预测的速度分布非常吻合。互相关和自相关算法分别用于测量非常低的速度和中等到高速。前一种方法适用于生物医学应用,而后者则需要电子冷却中的测量。结果表明,IR-PIV技术有效地扩展了常规micro-PIV技术的应用,并且在基于硅的微器件中进行流量测量具有巨大的潜力。

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