电容式光声气体传感悬臂梁优化分析模型

W. Trzpil, R. Rousseau, D. Ayache, Nicolas Maurin, A. Vicet, M. Bahriz
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引用次数: 2

摘要

气体传感在医学、空气质量、食品加工或安全和国防等各个领域都有巨大的应用。工业中的主要挑战是在保持其性能和功耗的同时创建集成和紧凑的传感器。光声光谱(PAS)由于其在保持紧凑性的同时具有优异的选择性而在该领域获得了特别的兴趣。在可调谐激光二极管吸收光谱(TDLS)中,信号与光程成正比。光声光谱的灵敏度与激光的功率成正比,这使得即使在小型气体电池中也能保持良好的灵敏度。采用高质量因数的机械谐振器,提高了信噪比,避免了声室的使用。用硅技术制造的微机电系统(MEMS)仍然是实现包括激光源和电子元件在内的紧凑集成传感器的合理选择。我们提出了一种易于集成、结构紧凑、灵敏度高的电容式转导方法。由于多物理场问题、时间和资金的限制,理论模型似乎是提高传感器性能的第一步。我们提出了一个利用电容转导机制的光声气体传感新概念的解析模型。利用Python编程环境实现的计算方法对模型进行了强化。该研究以硅悬臂梁为模型进行,这为获得所有物理参数的解析解提供了机会。本研究的目标是实现电信号输出和信噪比的最大化。本研究为集成紧凑型气体传感器的悬臂梁尺寸和频率检索提供了一种解决方案。除了优化之外,该模型还提供了一个全面的工具来理解传感器工作原理的机制,因此可以作为一种工具,允许开发具有更复杂几何形状和/或不同转导机制的机械谐振器。
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An analytic model for cantilever optimization for photoacoustic gas sensing with capacitive transduction
Gas sensing find tremendous applications in various fields like medicine, air quality, food processing or security and defence. The main challenge in industry is to create an integrated and compact sensor while maintaining its performance and power consumption. Photoacoustic spectroscopy (PAS) gains particular interest in this field due to its excellent selectivity while maintaining compactness. In tunable laser diode absorption spectroscopy (TDLS) the signal is proportional to optical path. Sensitivity in photoacoustic spectroscopy is proportional to the power of the laser, which allows to keep a good sensitivity even with small gas cells. The use of mechanical resonator with high quality factor allows improving the signal-to-noise ratio and avoid the use of an acoustic chamber. Micro-electro mechanical systems (MEMS) fabricated in silicon technology remain a reasonable choice to realize a compact and integrated sensor, including laser source and electronics. We propose a capacitive transduction method, which can be easily integrated, compact and highly sensitive. Due to the multi-physics problem, time and financial contains, a theoretical model seems to be a first step towards sensor performance improvement. We propose an analytical model for a new concept of photoacoustic gas sensing using capacitive transduction mechanism. The model was reinforced with computational methods implemented in Python programming environment. The study was carried out using silicon cantilever as a model, which brings an opportunity to obtain an analytical solution for all physical parameters. The goal of this research stands maximization of electrical signal output and signal-to-noise (SNR) ratio. Conducted study provides a solution to retrieve a cantilever dimensions and frequency for integrated compact gas sensor. Beyond optimization, the model provides a comprehensive tool to understand mechanisms of sensor working principles and therefore stands as a tool allowing a mechanical resonator to be developed with a more complex geometry and/or different transduction mechanism.
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