To read this content please select one of the options below:

Optimization of electrostatic sensor based on sensor separation

Mozhde Heydarianasl (Department of Electrical Engineering, Dashtestan Branch, Islamic Azad University, Dashtestan, Iran)

Sensor Review

ISSN: 0260-2288

Article publication date: 12 August 2019

Issue publication date: 23 August 2019

112

Abstract

Purpose

Electrostatic sensors are applied to measure velocity of solid particles in many industries because controlling the velocity particles improves product quality and process efficiency. The purpose of current paper is optimization of these sensors which is required to achieve maximum spatial sensitivity and minimum statistical error.

Design/methodology/approach

Different electrode of electrostatic sensors with different length, thickness and sensor separations were experimentally applied in laboratory. Then, correlation velocity, signal bandwidth and statistical error were calculated.

Findings

High sensor separation is a crucial factor because it would lead to increase signal similarity and decrease statistical error. This paper focuses on the effect of sensor separation on optimization of electrostatic sensors.

Originality/value

From observations, the optimal value for length, thickness and sensor separations was 0.6, 0.5 and 15 cm, respectively. Consequently, statistical error has improved by about 17 per cent. These results provided a significant basis of optimization of electrostatic sensors.

Keywords

Acknowledgements

The author would like to express great appreciation to Prof. Dr. Mohd Fuaad Rahmat for many valuable and constructive suggestions during the planning and development of this research work. The author would also like to extend her thanks to the technicians of the laboratory of the Department of Control and Mechatronics Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia.

Citation

Heydarianasl, M. (2019), "Optimization of electrostatic sensor based on sensor separation", Sensor Review, Vol. 39 No. 5, pp. 724-732. https://doi.org/10.1108/SR-06-2018-0158

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

Related articles