Optimized Rectangular Electrode of Electrostatic Sensor

Abstract

This paper focuses on optimization of rectangular electrodes of electrostatic sensors. Fundamental characteristics of these electrodes are significant in order to use them in many industries that deal with particles and powders. In this study, Multi-Objective Particle Swarm Optimization (MOPSO) technique has been employed to obtain optimal value of electrode designs including length and thickness. Commercial MATLAB software is used in the optimization. Special sensitivity and statistical error have been utilized as conflict objective functions to recognize optimal sizes of electrodes. The optimization results are compared with the experimental data available in current study. From the observed results, the optimum sizes of length and thickness of rectangular electrode was equal to 0.6 cm and 0.5 cm, respectively.

An optimization method of electrostatic sensor array based on Kriging surrogate model and improved non-dominated sorting genetic algorithm with elite strategy algorithm

“…Then it can be considered that the mode of the electric displacement vector at the area micro-element |D| is equal to |σ|, and the direction of the electric field intensity at the area micro-element is the same as the direction of the electric displacement vector. So equation ( 5) can be obtained from equation (4). The ratio of the standard deviation to the mean value of ESCA sensitivity F(X)…”

“…2 There are few existing researches on the optimization design of electrostatic sensors, and there are mainly some optimization methods proposed for the measurement of the discrete solid-phase velocity in gas-solid two-phase flow. Rahmat's team [3][4][5][6] at Universiti Teknologi Malaysia carried out mathematical modeling of electrostatic sensors with annular, rectangular, and rod-like probes, and applied particle swarm optimization algorithm (PSO) and multiobjective particle swarm optimization algorithm (MOPSO) to optimize the structural parameters of the probes for the specific use of electrostatic sensors for discrete solid-phase velocity measurements, using the derived mathematical model of electrostatic sensor sensitivity as the fitness function. A more ideal electrostatic sensor configuration for velocity measurement in gassolid two-phase flow was obtained.…”