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Selecting gas dynamics channel parameters for electrical discharge fast flowrate lasers

  • A. I. Ivanchenko
  • V. V. Krashennikov
  • A. G. Ponomarenko
  • A. A. Shepelenko
Article

Abstract

Using lasers with powers over l kW has become common in industry. Compactness and high efficiency are important requirements to take into account when designing lasers. Fast flowrate CO2 lasers with independent discharges have wide application in industry, whose radiators are quite large because of the low density of the working gas. When considering the compactness and efficiency of these lasers, one must not ignore questions concerning the optimal correspondence of the characteristics for the pumping device (PD) of the gas and for the closed gas dynamics channel (CGDC) of the laser radiator. The PD must ensure circulation of the gas at a rate determined by the assigned power of the laser for the smallest size of the radiator and for small noise and vibration levels. The configuration and dimensions of the CGDC, the means of arranging its elements, the characteristics of the gas flow in the pumping zone, and the power of the active medium all determine the gas resistance of the closed channel and the loss of power at pump, which is 5 to 25% of the total power required in lasers with powers up to 10 kW [1, 2]. One may find information on the application of various PD in fast flowrate lasers [3–9], but there is no data on the characteristics of closed CGDC, which are determined by the PD parameters. There is currently an absence of literature dealing with the selection of optimal parameters for the electrical discharge, the gas flow, and the configuration of the flow section of the CGDC. We will take a comprehensive approach to determine the parameters for the gas flow in the pumping zone and the gas characteristics for the contour elements and the pumping device.

Keywords

Laser Radiator Electrical Discharge Total Power Active Medium Important Requirement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Publishing Corporation 1987

Authors and Affiliations

  • A. I. Ivanchenko
    • 1
  • V. V. Krashennikov
    • 1
  • A. G. Ponomarenko
    • 1
  • A. A. Shepelenko
    • 1
  1. 1.Novosibirsk

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