Journal of Russian Laser Research

, Volume 34, Issue 3, pp 230–238 | Cite as

Numerical design of a two-cascade cylindrical microtarget for shock-free compression

  • G. V. Dolgoleva


We present the numerical design of a two-cascade target. The desired target design is intended to provide a shock-free compression of the central DT core, where the fusion reactions take place. We obtain the formula for the energy deposition into each cascade internal layer for both known and unknown energy depositions into the external target layer. The two-cascade target design helps to increase the energy deposition into the DT layer and therefore decrease the energy required for the target ignition.


inertial confinement fusion fusion target design shock-free compression gas dynamics numerical calculations 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    G. V. Dolgoleva and A. V. Zabrodin, Aeromechanics and Gas Dynamics, 2, 40 (2002) [in Russian].Google Scholar
  2. 2.
    K. P. Staniukovich, Unsteady Motion of Continuous Media, Pergamon Press (1960).Google Scholar
  3. 3.
    G. V. Dolgoleva, Problems of Nuclear Science and Technology. Series: Methods and Programs for Numerical Solution of Mathematical Physics Problems, 2, 29 (1983) [in Russian].Google Scholar
  4. 4.
    G. V. Dolgoleva and A. V. Zabrodin, Energy Cumulation in Layered Systems and Realization of Shock-Free Compression, Fizmatlit, Moscow (2004) [in Russian].Google Scholar
  5. 5.
    G. V. Dolgoleva, Nizhny Novgorod Univ. Vestn., 4, 754 (2011) [in Russian].Google Scholar
  6. 6.
    B. N. Kozlov, At. Energ., 12, 238 (1962) [in Russian].Google Scholar
  7. 7.
    G. M. Eliseev and G. E. Klimishov, “Equation of state of solids and its spline-approximation,” Preprint of the Keldysh Institute of Applied Mathematics [in Russian], Moscow (1982), No. 173.Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Keldysh Institute of Applied MathematicsMoscowRussia

Personalised recommendations