Characterising a PCB electrical conductivity sensor using electromagnetic simulation and a genetic algorithm
Measuring electrical conductivity makes it possible to determine the concentration of dissolved ionic compounds in the water. Presented is a sensor developed for easily measuring the electrical conductivity of aqueous solutions. This sensor is comprised of two planar electrodes integrated onto a pri...
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| Published in | IET science, measurement & technology Vol. 11; no. 6; pp. 761 - 765 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
The Institution of Engineering and Technology
01.09.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1751-8822 1751-8830 |
| DOI | 10.1049/iet-smt.2016.0489 |
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| Abstract | Measuring electrical conductivity makes it possible to determine the concentration of dissolved ionic compounds in the water. Presented is a sensor developed for easily measuring the electrical conductivity of aqueous solutions. This sensor is comprised of two planar electrodes integrated onto a printed circuit board (PCB). PCB technology enables this sensor to be manufactured at high volumes for a modest cost. However, when the sensor is integrated into a PCB, it becomes difficult to analytically determine the influence the dimensions of the sensor's electrodes have on its measurements. In this research, a genetic algorithm was used to derive an equation predicting the behaviour of a PCB sensor with any reasonable electrode dimensions. Afterwards, the accuracy of this equation was evaluated by comparing its predictions to the measurements taken using actual sensors. |
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| AbstractList | Measuring electrical conductivity makes it possible to determine the concentration of dissolved ionic compounds in the water. Presented is a sensor developed for easily measuring the electrical conductivity of aqueous solutions. This sensor is comprised of two planar electrodes integrated onto a printed circuit board (PCB). PCB technology enables this sensor to be manufactured at high volumes for a modest cost. However, when the sensor is integrated into a PCB, it becomes difficult to analytically determine the influence the dimensions of the sensor's electrodes have on its measurements. In this research, a genetic algorithm was used to derive an equation predicting the behaviour of a PCB sensor with any reasonable electrode dimensions. Afterwards, the accuracy of this equation was evaluated by comparing its predictions to the measurements taken using actual sensors. |
| Author | Werner, Frank T Dean, Robert N |
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| Cites_doi | 10.1016/j.jspi.2010.01.008 10.1109/48.565 10.1109/TIM.2007.911703 10.1109/TIM.2014.2340641 10.1109/TBME.1983.325098 10.1080/10408340500526766 10.4071/imaps.415 10.1049/el:20060767 10.1016/j.snb.2015.12.034 10.1109/TIM.2011.2173041 10.1016/j.compag.2004.12.001 |
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| Issue | 6 |
| Keywords | genetic algorithm electrodes PCB electrical conductivity sensor printed circuits printed circuit board genetic algorithms electromagnetic simulation dissolved ionic compound electrical conductivity measurement electric sensing devices planar electrode |
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| SubjectTerms | dissolved ionic compound electric sensing devices electrical conductivity measurement electrodes electromagnetic simulation genetic algorithm genetic algorithms PCB electrical conductivity sensor planar electrode printed circuit board printed circuits Research Article |
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| Title | Characterising a PCB electrical conductivity sensor using electromagnetic simulation and a genetic algorithm |
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