Author_Institution :
Lawrence Berkeley Nat. Lab., Univ. of California, CA, USA
Abstract :
Cathode spot phenomena show many features of fractals, for example self-similar patterns in the emitted light and arc erosion traces. Although there have been hints on the fractal nature of cathode spots in the literature, the fractal approach to spot interpretation is underutilized. In this work, a brief review of spot properties is given, touching the differences between spot type 1 (on cathodes surfaces with dielectric layers) and spot type 2 (on metallic, clean surfaces), as well as the known spot fragment or cell structure. The basic properties of self-similarity, power laws, random colored noise, and fractals are introduced. Several points of evidence for the fractal nature of spots are provided. Specifically, power laws are identified as signature of fractal properties, such as spectral power of noisy arc parameters (ion current, arc voltage, etc.) obtained by fast Fourier transform. It is shown that fractal properties can be observed down to the cutoff by measurement resolution or occurrence of elementary steps in physical processes. Random walk models of cathode spot motion are well established: they go asymptotically to Brownian motion for infinitesimal step width. The power spectrum of the arc voltage noise falls as 1/f2, where f is frequency, supporting a fractal spot model associated with Brownian motion.
Keywords :
Brownian motion; cathodes; fast Fourier transforms; fractals; random noise; vacuum arcs; Brownian motion; arc erosion traces; cell structure; dielectric layers; fast Fourier transform; fractals; ion current; metallic clean surfaces; power laws; power spectrum; random colored noise; random walk models; self-similar patterns; spot fragment; vacuum arc cathode spots; Cathodes; Colored noise; Dielectrics; Fast Fourier transforms; Fractals; Frequency; Lakes; Surface cleaning; Vacuum arcs; Voltage; Cathode spot; fast Fourier transform; fractals; random colored noise; vacuum arcs;