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超灵敏优化一维声子晶体作为一种流体传感器用于增强醋酸浓度的测量。

Ultra-sensitive optimized one-dimensional phononic crystal as a fluidic sensor to enhance the measurement of acetic acid concentration.

作者信息

Heravi Farhad Javanpour, Hajjiah Ali, Elsayed Hussein A, Mehaney Ahmed

机构信息

Faculty of Physics, Tabriz University, Tabriz, Iran.

Department of Electrical Engineering, College of Engineering and Petroleum, Kuwait University, Kuwait City, Kuwait.

出版信息

Sci Rep. 2024 Aug 17;14(1):19076. doi: 10.1038/s41598-024-69195-9.

Abstract

The current investigation theoretically presents a one-dimensional phononic crystal (PnC) as a fluidic sensor. The sensor under consideration aims to distinguish the concentration of acetic acid. The primary configuration of the proposed sensor is constructed with lead, epoxy, and a defect layer in the middle of the structure, that is filled with acetic acid (vinegar). As a result of the rise in density and decline in the speed of sound at a 100% concentration of acetic acid in comparison to pure water, the peak frequency of the output has shifted towards lower frequencies. Given that the maximum permissible concentration of acetic acid in water for vinegar is above 30%, sensor simulations were conducted within the concentration range of 25-35% with a step size of 1%. Interestingly, the sensitivity of the sensor exhibits a polynomial change in response to the concentration of acetic acid. Consequently, the highest level of sensitivity, which corresponds to the lowest concentration of vinegar, is recorded as 48.44 × 10 (Hz). The proposed system exhibits a remarkable value of the quality factor of 2802.91. Furthermore, the optimal figure of merit (FOM) is achieved when the concentration is at its lowest, with a value of 94.00. Furthermore, the temperature effects are taken into account for a wide range between 10 60 °C. A pronouncing sensitivity is obtained for all temperatures changes and the highest one reached the value of 1.57 × 10 (Hz/°C) at a temperature of 25 °C. Considering the present circumstances, the suggested sensor configuration has the potential to cater to a diverse array of other fluids, specifically their concentration and temperature, thereby offering a broad scope of applications.

摘要

当前的研究从理论上提出了一种一维声子晶体(PnC)作为流体传感器。所考虑的传感器旨在区分醋酸的浓度。所提出的传感器的主要结构由铅、环氧树脂以及结构中间的一个缺陷层构成,该缺陷层中填充有醋酸(醋)。与纯水相比,在醋酸浓度为100%时,由于密度增加和声速下降,输出的峰值频率已向较低频率偏移。鉴于醋中醋酸在水中的最大允许浓度高于30%,在25 - 35%的浓度范围内以1%的步长进行了传感器模拟。有趣的是,传感器的灵敏度随醋酸浓度呈现多项式变化。因此,对应于最低醋浓度的最高灵敏度记录为48.44×10(Hz)。所提出的系统展现出2802.91的显著品质因数。此外,当浓度最低时达到最佳品质因数(FOM),值为94.00。此外,考虑了10至60°C的宽温度范围的温度影响。对于所有温度变化都获得了显著的灵敏度,在25°C时最高灵敏度达到1.57×10(Hz/°C)的值。考虑到当前情况,所建议的传感器配置有可能适用于各种各样的其他流体,特别是它们的浓度和温度,从而提供广泛的应用范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81f0/11330524/474a75a9bb53/41598_2024_69195_Fig1_HTML.jpg

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