Computational modeling of ``MAGO`` and other magnetized target fusion concepts

One possible way to obtain a preheated and magnetized plasma suitable for subsequent implosion is the ``MAGO`` concept. The unique MAGO discharge consists of a two chambers, with electrical current flowing in one chamber accelerating plasma flow into an implosion chamber. Up to 4 {times} 10{sup 13} D-T neutrons have been produced in the MAGO discharge. In this paper, we discuss our computational modeling of MAGO. Our objectives are to characterize the plasma, compare with the limited diagnostics available, and to understand the neutron production. We also discuss, briefly, some other possible means for creating a magnetized plasma

Computational and experimental investigation of magnetized target fusion

In Magnetized Target Fusion (MTF), a preheated and magnetized target plasma is hydrodynamically compressed to fusion conditions. Because the magnetic field suppresses losses by electron thermal conduction in the fuel during the target implosion heating process, the compression may be over a much longer time scale than in traditional inertial confinement fusion (ICF). Bigger targets and much lower initial target densities than in ICF can be used, reducing radiative energy losses. Therefore, ``liner-on-plasma`` compressions, driven by relatively inexpensive electrical pulsed power, may be practical. Potential MTF target plasmas must meet minimum temperature, density, and magnetic field starting conditions, and must remain relatively free of high-Z radiation-cooling-enhancing contaminants. At Los Alamos National Laboratory, computational and experimental research is being pursued into MTF target plasmas, such as deuterium-fiber-initiated Z-pinches, and the Russian-originated MAGO plasma. In addition, liner-on-plasma compressions of such target plasmas to fusion conditions are being computationally modeled, and experimental investigation of such heavy liner implosions has begun. The status of the research will be presented

Magnetohydrodynamic simulation of solid-deuterium-initiated Z-pinch experiments

Solid-deuterium-initiated Z-pinch experiments are numerically simulated using a two-dimensional resistive magnetohydrodynamic model, which includes many important experimental details, such as ``cold-start`` initial conditions, thermal conduction, radiative energy loss, actual discharge current vs. time, and grids of sufficient size and resolution to allow realistic development of the plasma. The alternating-direction-implicit numerical technique used meets the substantial demands presented by such a computational task. Simulations of fiber-initiated experiments show that when the fiber becomes fully ionized rapidly developing m=0 instabilities, which originated in the coronal plasma generated from the ablating fiber, drive intense non-uniform heating and rapid expansion of the plasma column. The possibility that inclusion of additional physical effects would improve stability is explored. Finite-Larmor-radius-ordered Hall and diamagnetic pressure terms in the magnetic field evolution equation, corresponding energy equation terms, and separate ion and electron energy equations are included; these do not change the basic results. Model diagnostics, such as shadowgrams and interferograms, generated from simulation results, are in good agreement with experiment. Two alternative experimental approaches are explored: high-current magnetic implosion of hollow cylindrical deuterium shells, and ``plasma-on-wire`` (POW) implosion of low-density plasma onto a central deuterium fiber. By minimizing instability problems, these techniques may allow attainment of higher temperatures and densities than possible with bare fiber-initiated Z-pinches. Conditions for significant D-D or D-T fusion neutron production may be realizable with these implosion-based approaches

Computational modeling of MAGO'' and other magnetized target fusion concepts

One possible way to obtain a preheated and magnetized plasma suitable for subsequent implosion is the MAGO'' concept. The unique MAGO discharge consists of a two chambers, with electrical current flowing in one chamber accelerating plasma flow into an implosion chamber. Up to 4 [times] 10[sup 13] D-T neutrons have been produced in the MAGO discharge. In this paper, we discuss our computational modeling of MAGO. Our objectives are to characterize the plasma, compare with the limited diagnostics available, and to understand the neutron production. We also discuss, briefly, some other possible means for creating a magnetized plasma

MHD modeling of magnetized target fusion experiments.

Magnetized Target Fusion (MTF) is an alternate approach to controlled fusion in which a dense (0(1017-'8 cm-')), preheated (O(200 ev)), and magnetized (0( 100 kG)) target plasma is hydrodynamically compressed by an imploding liner. If electron thermal conduction losses are magnetically suppressed, relatively slow O(1 cm/microsecond) 'liner-on-plasma' compressions may be practical, using liners driven by inexpensive electrical pulsed power. Target plasmas need to remain relatively free of potentially cooling contaminants during formation and compression. Magnetohydrodynamic (MHD) calculations including detailed effects of radiation, heat conduction, and resistive field diffusion have been used to model separate target plasma (Russian MAGO, Field Reversed Configuration at Los Alamos National Laboratory) and liner implosion experiments (without plasma fill), such as recently performed at the Air Force Research Laboratory (Albuquerque). Using several different codes, proposed experiments in which such liners are used to compress such target plasmas are now being modeled in one and two dimensions. In this way, it is possible to begin to investigate important issues for the design of such proposed liner-on-plasma fusion experiments. The competing processes of implosion, heating, mixing, and cooling will determine the potential for such MTF experiments to achieve fusion conditions

Progress with developing a target for magnetized target fusion

Magnetized Target Fusion (MTF) is an approach to fusion where a preheated and magnetized plasma is adiabatically compressed to fusion conditions. Successful MTF requires a suitable initial target plasma with an embedded magnetic field of at least 5 T in a closed-field-line topology, a density of roughly 10{sup 18} cm{sup {minus}3}, a temperature of at least 50 eV, and must be free of impurities which would raise radiation losses. Target plasma generation experiments are underway at Los Alamos National Laboratory using the Colt facility; a 0.25 MJ, 2--3 {micro}s rise-time capacitor bank. The goal of these experiments is to demonstrate plasma conditions meeting the minimum requirements for a MTF initial target plasma. In the first experiments, a Z-pinch is produced in a 2 cm radius by 2 cm high conducting wall using a static gas-fill of hydrogen or deuterium gas in the range of 0.5 to 2 torr. Thus far, the diagnostics include an array of 12 B-dot probes, framing camera, gated OMA visible spectrometer, time-resolved monochrometer, filtered silicon photodiodes, neutron yield, and plasma-density interferometer. These diagnostics show that a plasma is produced in the containment region that lasts roughly 10 to 20 {micro}s with a maximum plasma density exceeding 10{sup 18} cm{sup {minus}3}. The experimental design and data are presented

PROGRESS TOWARD UNDERSTANDING MAGNETIZED TARGET FUSION (MTF).

Magnetized target fusion (MTF) takes advantage of (1) the reduction of the electron thermal conductivity in a plasma due to magnetization and (2) the efficient heating through bulk compression. MTF proposes to create a warm plasma with an embedded magnetic field and to compress it using an imploded liner or shell. The minimum energy required for fusion in an optimized target is directly proportional to the mass of the ignited fusion fuel. Simple theoretical arguments and parameter studies have demonstrated that MTF has the potential for significantly reducing the power and intensity of a target driver needed to achieve fusion. In order to acquire a comprehensive understanding of MTF and its potential applications it is prudent to develop more complete and reliable computational techniques. This paper briefly reviews the progress toward that goal