A parametric study on the PD pulses activity within micro-cavities

Abstract

A two-dimensional kinetic model has been used to parametric investigation of the spark-type partial discharge pulses inside the micro-cavities. The model is based on particle-in-cell methods with Monte Carlo Collision techniques for modeling of collisions. Secondary processes like photo-emission and cathode-emission are considered. The micro-cavity may be sandwiched between two metallic conductors or two dielectrics. The discharge within the micro-cavity is studied in conjunction with the external circuit. The model is used to successfully simulate the evolution of the discharge and yield useful information about the build-up of space charge within the micro-cavity and the consequent modification of the applied electric field. The phase-space scatter plots for electrons, positive, and negative ions are obtained in order to understand the manner in which discharge progresses over time. The risetime and the magnitude of the discharge current pulse are obtained and are seen to be affected by micro-cavity dimensions, gas pressure within the micro-cavity, and the permittivity of surrounding dielectrics. The results have been compared with existing experimental, theoretical, and computational results, wherever possible. An attempt has been made to understand the nature of the variations in terms of the physical processes involved.

Magnetic-field CMOS microsensor for low-energy electric discharge detection

“…On the other hand, the ideal sensor bandwidth should cover frequencies up to 100 MHz to detect the frequency emitted by the discharge. But, since the sensor is resonant around a certain frequency, the output signal will be maximal around this same resonant frequency (Ganjovi, 2016). A similar form of a damped signal, due to an electrical spark discharge, was documented in Martinson and Delsing (2010) and Liu et al (2015).…”

“…Therefore, from the microsensor frequency response in Fig. 5d, it can be noted that the device exhibits a higher sensitivity when used in the vicinity of a given resonant frequency (Ganjovi, 2016). Thus, for a specific application, we should optimize the sensor geometry in order to match the frequency range where electric discharge energy prevails noise.…”

Numerical heating of electrons in particle-in-cell simulations of fully magnetized plasmas

“…The commonly used weighting is the first-order linear interpolation S 1 (e.g., in Refs. [7][8][9][10]), which distributes the charge density between the nearest gridpoints [two points in the one-dimensioanl (1D) case]. The second-order (quadratic) spline S 2 which assigns the charge density between more gridpoints (three nearest points in the 1D case), and the nearest grid point (NGP) scheme, S 0 are used less frequently [11,12].…”