Application of fringe field capacitance sensor for the study of water permeation in organic coatings

Thomas, K. A.; Nair, Shiny; Kumar, Ajith; Natarajan, V.; John, Reji

doi:10.1007/s11998-016-9795-3

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…It is implemented either on rigid substrates, e.g. [13][14][15] or on flexible ones [16] with critical dimension (electrode finger width and gap between the electrodes) to be 1μm or wider. So far, very few applications of IDE transducers with critical dimension in the nanoscale are reported.…”

Section: Introductionmentioning

confidence: 99%

Ultra miniaturized InterDigitated electrodes platform for sensing applications

Wang

Syed

Bhattacharya

et al. 2020

Microelectronic Engineering

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Section: Introductionmentioning

confidence: 99%

Ultra miniaturized InterDigitated electrodes platform for sensing applications

Wang

Syed

Bhattacharya

et al. 2020

Microelectronic Engineering

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“…The effect of crude palm oil composition on electrical capacitance is analysed in [28]. Water permeation in organic coatings is measured by computing change in capacitance across the parallel plate electrodes in [29]. Measurement of moisture content in a solid structure by using a capacitance-based sensor is reported in [30].…”

Section: Introductionmentioning

confidence: 99%

Design of an Instrument for Liquid Level Measurement and Concentration Analysis Using Multisensor Data Fusion

2020

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This paper presents the design of an instrument for measuring the liquid level. The objective of this proposed work is to measure the level of liquid accurately even with variations in liquid concentration. The designed instrument should also be able to compute the concentration of additives in the liquid. For this purpose, a multisensor model comprising a capacitive level sensor (CLS), ultrasonic level sensor (ULS), and capacitance pressure sensor is used to acquire information of the liquid. The data acquired from all these sensors are processed using Pau’s multisensor data fusion framework to compute the level of liquid along with the concentration of additives added to the solution. Pau’s framework consists of alignment, association function, analysis, and representation functions. The designed multisensor technique is tested with real-life data for varying liquid levels and additives. The results obtained show that the successful implementation of the proposed objective producing a root mean square of percentage error is 1.1% over the full scale is possible.

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