Preliminary Design Procedure for High Power Density MHD Generators.

Abstract

The steps to be taken in the preliminary design of a high power density, segmented Faraday or diagonal, open-cycle MHD generator are formalized. The recommended design procedure starts with the optimum choice of the combustion chamber pressure. The optimization is based on a semi-empirical expression of the effective power density, developed by Smith and Nichols. As a result of this optimization, a rough estimate of the realizable power density is made, which yields the order of magnitude of the transverse dimension keeping the length-to-diameter ratio around 10 for the desired power output. It is then recommended that the area variation and length be calculated on the basis of an isothermal core flow. This preliminary shape of the duct will serve as the base on which alterations can be made by a computer to accommodate wall effects in detailed design stage that will follow the preliminary consideration. An alternate route for the preliminary design is provided by using scaling laws. Starting with a well-designed generator which is demonstrably high in power density, dynamically similar units can be produced using these laws. The laws are developed following the modern procedure of ordering. Numerical examples are provided to illustrate the procedure.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1980
Accession Number
ADA096144

Entities

People

  • Pau-chang Lu

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aeronautical Laboratories
  • Air Force
  • Chambers
  • Combustion
  • Combustion Chambers
  • Computer Simulations
  • Current Density
  • Generators
  • Government Procurement
  • Governments
  • Heat Capacity
  • Mach Number
  • Magnetic Fields
  • Reynolds Number
  • Scaling Laws
  • Simulations
  • Specific Heat

Fields of Study

  • Physics

Readers

  • Combustion and Flow Dynamics.
  • Electrical Engineering
  • Operations Research