AN ELECTRIC ARC ACROSS AN AIR STREAM

Abstract

The paper has three main aims: to describe the important features of the two-dimensional problem of an arc column across a low subsonic air stream; to present a simple model of the arc column which has proved qualitatively useful in the past; and to demonstrate by analysing experimental results that the model is not quantitatively adequate. A principal feature of the problem is that the cross-sectional area of the arc depends on the current passing through the arc, on the velocity of the undisturbed stream and on the ambient pressure and temperature. This feature is incorporated in the simple model, which employs an equivalent arc of circular cross-section carrying the same current and having no convection inside it. The experimental results, inferred from measurements on moving arcs at atmospheric pressure, are analysed in terms of Reynolds number, Nusselt number and drag coefficient. The results for the arc are found to differ greatly from results for solid circular cylinders, even when an allowance is made for loss of energy from the arc by radiation. It is concluded that the equivalent arc, is not a satisfactory model of an arc across an air stream, and possible reasons for this, as well as possible lines of improvement, are given.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1965
Accession Number
AD0464544

Entities

People

  • E. G. Broadbent
  • W. T. Lord

Organizations

  • Royal Aircraft Establishment

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Barometric Pressure
  • Boundaries
  • Boundary Layer
  • Coefficients
  • Differential Equations
  • Electric Arcs
  • Electric Fields
  • Equations
  • Fluid Dynamics
  • Heat Flux
  • Heat Transfer
  • High Temperature
  • Magnetic Fields
  • Pressure Distribution
  • Radiation
  • Reynolds Number
  • Thermal Conductivity

Readers

  • Combustion and Flow Dynamics.
  • Graph Algorithms and Convex Optimization.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference