Atmospheric icing process measurement utilizing impedance spectroscopy and thin film structure

Gui, Kang; Liu, Jinyi; Ge, Jian; Li, Hongyu; Lin, Ye

doi:10.1016/j.measurement.2022.111851

Cited by 10 publications

(2 citation statements)

References 27 publications

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“…Well-known applications of these technique include medical imaging [11] and process tomographic measurements [12], and the application of these sensing techniques to environmental sensing such as monitoring of natural ice accretion [13,14] has also been proposed [15][16][17]. An advantage of electrical imaging systems with respect to other tomographic sensing approaches is the moderate instrumentation effort [18].…”

Section: Introductionmentioning

confidence: 99%

Efficient Jacobian Computations for Complex ECT/EIT Imaging

Neumayer,

Suppan,

Bretterklieber

et al. 2024

Mathematics

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The reconstruction of the spatial complex conductivity σ+jωε0εr from complex valued impedance measurements forms the inverse problem of complex electrical impedance tomography or complex electrical capacitance tomography. Regularized Gauß-Newton schemes have been proposed for their solution. However, the necessary computation of the Jacobian is known to be computationally expensive, as standard techniques such as adjoint field methods require additional simulations. In this work, we show a more efficient way to computationally access the Jacobian matrix. In particular, the presented techniques do not require additional simulations, making the use of the Jacobian, free of additional computational costs.

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Section: Introductionmentioning

confidence: 99%

Efficient Jacobian Computations for Complex ECT/EIT Imaging

Neumayer,

Suppan,

Bretterklieber

et al. 2024

Mathematics

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show abstract

“…Jakob et al developed an on-board capacitance sensor, which was mounted on the bottom of the vehicle body, and measured the ice layer by detecting the multi-frequency excitation output results to measure the ice layer, and tests on a road surface with an ice layer found that the sensor could detect 1 mm of ice [17,18]. Gui et al proposed a planar thin-film impedance sensor for ice detection, while developing a cover recognition algorithm based on support vector machines, and the experimental results showed that the sensor could identify five pollutant types such as water and ice, with an accuracy of 93% [19]. The planar capacitive sensor is non-intrusive and can be flush mounted on the runway, which is ideal for runway contaminant detection.…”

Section: Introductionmentioning

confidence: 99%

Design of an active detection system for ice and snow pollutants and freezing temperature on runway

Chen,

Gao,

Yang

et al. 2023

Meas. Sci. Technol.

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This paper studied the problem of ice and snow pollutants identification and freezing temperature detection under winter runway operation, and designed an active detection system for runway ice and snow pollutants and freezing temperature. The temperature change trend during the liquid freezing process was researched, and the freezing temperature detection model based on sequence segmented linear fitting and inflection point identification was proposed in combination with active cooling technology. The differences in dielectric properties of runway snow and ice cover are studied, and a multi-frequency detection-based forked-finger planar capacitive sensor was identified for snow and ice pollutants detection considering practical application scenarios. A finite element simulation model of the forked-finger planar capacitive sensor was established, to optimize the structural parameters of the sensor and verify the feasibility of the capacitor sensor. Finally, the detection device and control system were designed and fabricated, and built an experimental platform for system test. The field experimental results showed that the system has good reliability and stability, and the error of freezing temperature detection model is less than 0.3 °C. At the same time, it can identify three types of pollutants, including water, ice and ice–water mixture, with an accuracy of 89%.

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Atmospheric icing meteorological parameter study using field experiments and simulation

Han,

Virk,

Asif

et al. 2024

Meteorological Applications

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Atmospheric icing on ground structures is a concern from design, operation, and safety perspectives. Supercooled water droplets size and liquid water content (LWC) are important weather parameters to better understand the ice accretion physics on ground structures. Most existing studies are based on measurements at high altitude. The study is based on the field results of a specific event (from 9:30 to 22:27 h on October 29, 2022) in Arctic region of northern Norway. The data from this event are presented and used for analytical validation and simulation. Field measurements of different meteorological weather parameters including the droplet size and LWC are carried out leading to recording of resultant atmospheric ice load and intensity. A comprehensive study is also carried out to validate droplet collision efficiency and ice load using the existing analytical model ISO‐12494 and computational fluid dynamics (CFD)–based numerical simulations. Furthermore, the differences in icing simulation using parameters such as median volume diameter (MVD), Langmuir B –J as alternatives to the actual droplet size distribution (DSD) spectrum are also analyzed. The results show that under natural meteorological conditions, the characteristics of water DSD change in real time. Using MVD alone to calculate the water droplet collision efficiency on circular cylinders can lead to significant errors. Accurately selecting the Langmuir distribution as a substitute for the actual DSD can reduce simulation errors to within 5%. Compared to the analytical model, the numerical simulations result better reflects the collision characteristics of water droplets of different sizes on the cylindrical object.

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Atmospheric icing process measurement utilizing impedance spectroscopy and thin film structure

Cited by 10 publications

References 27 publications

Efficient Jacobian Computations for Complex ECT/EIT Imaging

Efficient Jacobian Computations for Complex ECT/EIT Imaging

Design of an active detection system for ice and snow pollutants and freezing temperature on runway

Atmospheric icing meteorological parameter study using field experiments and simulation

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