首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Research on Tuning Fork Dimension Optimization and Density Calculation Model Based on Viscosity Compensation for Tuning Fork Density Sensor
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Research on Tuning Fork Dimension Optimization and Density Calculation Model Based on Viscosity Compensation for Tuning Fork Density Sensor

机译:基于调谐叉密度传感器粘度补偿的调整叉尺寸优化和密度计算模型研究

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At present, real-time online measurement of fluid density is of great significance to improve the automation level of petrochemical and food industries. The tuning fork density sensor is widely used because of its characteristics of real-time online measurement, high measurement accuracy, simple structure, and convenient use. The traditional tuning fork density sensor in the market has the disadvantage of low resolution and being susceptible to liquid viscosity, which makes the sensor’s measurement accuracy low and not suitable for the measurement of high-viscosity liquid density. The measurement resolution and antiviscosity interference capability of the tuning fork density sensor are two major indexes to measure the measurement performance of the sensor, among the antiviscosity interference capability refers to the degree to which the measurement results of the sensor are affected by viscosity properties. However, the structural design of the tuning fork density sensor results in the conflict between the measurement resolution and the antiviscosity interference capability of the sensor, and the improvement of one performance is bound to affect the performance of the other. Aiming at the problem of how to balance the measuring performance of the tuning fork sensor, a density calculation model based on viscosity compensation is proposed in this paper. By studying the working principle and structure design of the tuning fork, the vibration characteristics of tuning fork in liquid with different viscosities and densities are modelled and simulated. From the results of simulation analysis, the better set of dimensions with balanced measuring performance is selected. Not only does the structure of the tuning fork have the characteristics of high resonance frequency, but also the measured results are less affected by the viscosity of the liquid. To solve the problem that density measurement is still affected by high-viscosity liquid after tuning fork dimension optimization, in this paper, the partial least square model is used to fit the experimental data of the frequency-density characteristics; then, the density calculation model based on the viscosity compensation is obtained by combining the frequency-viscosity characteristic experiment. Finally, through the performance test experiment comparing with the traditional tuning fork density sensor, the measurement resolution of the improved tuning fork density sensor is as high as 0.0001?g/cm3; within the viscosity range of 180?MPa·s, the accuracy reached ±0.001?g/cm3, and within 480?MPa·s, the measurement accuracy reached ±0.002?g/cm3. When the liquid viscosity reaches more than 10?MPa·s, the improved tuning fork density sensor has better overall measurement performance than the traditional tuning fork density sensor, and both of its measurement resolution and antiviscosity interference capability have been greatly improved.
机译:目前,实时在线测量流体密度对改善石化和食品工业的自动化水平具有重要意义。调谐叉密度传感器被广泛使用,因为其实时在线测量的特性,测量精度高,结构简单,使用方便。市场上传统的调谐叉密度传感器具有低分辨率的缺点,易受液体粘度的影响,这使得传感器的测量精度低,不适合测量高粘度液体密度。调谐叉密度传感器的测量分辨率和防反症干扰能力是测量传感器测量性能的两个主要指标,在防亚密消毒干扰能力中是指传感器的测量结果受粘度特性的影响程度。然而,调谐叉密度传感器的结构设计导致测量分辨率与传感器的防反症干扰能力之间的冲突,并且一定性能的改善必将影响另一个性能。旨在如何平衡调谐叉传感器的测量性能,本文提出了一种基于粘度补偿的密度计算模型。通过研究调谐叉的工作原理和结构设计,建模和模拟具有不同粘度和密度的液体中调节叉的振动特性。从仿真分析结果,选择了具有平衡测量性能的更好尺寸。调谐叉的结构不仅具有高共振频率的特征,而且测量的结果也受到液体粘度的影响较小。为了解决密度测量仍然受高粘度液体的影响,在调谐叉尺寸优化之后仍然受到高粘度液体的影响,本文最小二乘模型用于符合频率密度特性的实验数据;然后,通过组合频率粘度特征实验获得基于粘度补偿的密度计算模型。最后,通过与传统的调谐叉密度传感器进行比较的性能测试实验,改进的调谐叉密度传感器的测量分辨率高达0.0001Ω·克/厘米;在180℃的粘度范围内,精度达到±0.001?G / cm3,在480℃,测量精度达到±0.002?G / cm3。当液体粘度达到超过10℃时,改善的调节叉密度传感器具有比传统的调谐叉密度传感器更好的整体测量性能,并且其测量分辨率和防谐波干扰能力都得到了大大提高。

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