Spheromak

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Spheromak is a type of plasma configuration that combines elements of both toroidal and spherical geometries. It is a self-organized plasma structure that is characterized by a closed magnetic field and a high degree of symmetry. The spheromak belongs to the broader class of compact toroid configurations, which also includes the field-reversed configuration and the toroidal pinch.

History[edit | edit source]

The concept of the spheromak was first proposed in the 1960s by Hannes Alfvén, a Swedish physicist and Nobel laureate. Alfvén's work on magnetohydrodynamics (MHD) laid the theoretical foundation for the spheromak and other compact toroid configurations. The first experimental spheromak was created in the 1970s at the Lawrence Livermore National Laboratory in the United States.

Structure and Properties[edit | edit source]

A spheromak is characterized by a toroidal (doughnut-shaped) plasma with a strong poloidal (along the axis of the torus) magnetic field. This field is self-generated by the plasma currents, which means that the spheromak does not require external coils to maintain its shape. This is a key advantage of the spheromak configuration, as it simplifies the design and operation of fusion reactors.

The spheromak is also notable for its high beta, which is the ratio of plasma pressure to magnetic pressure. A high beta means that a spheromak can contain a large amount of plasma energy, making it a promising configuration for fusion energy research.

Applications[edit | edit source]

The primary application of the spheromak is in the field of nuclear fusion research. Spheromaks are used in experimental fusion reactors, where they are created and sustained by a process known as magnetic reconnection. This process involves the conversion of magnetic energy into plasma energy, which can potentially be harnessed for power generation.

Spheromaks are also used in the study of astrophysical phenomena, such as solar flares and stellar magnetism. The self-organized nature of the spheromak makes it a useful model for understanding these complex, large-scale processes.

See Also[edit | edit source]

References[edit | edit source]

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Contributors: Prab R. Tumpati, MD