Single-Volume Magnetic Reconnection Converter (MRC) with Variable β of Plasma based on Thermodynamic Duty Cycle “α- Dynamo – Magnetic Reconnection”

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Magnetic reconnection converter (MRC) based on a single-volume plasma (spheromak) with a variable β in the turbulent pumping (charging)/discharging phases of the thermodynamic duty cycle “α-dynamo – magnetic reconnection”. To obtain helpful energy, the proposed MRC uses a cyclic combination of two physical processes:

  1. α-dynamo, generated by controlled turbulence, increases the global helicity H through the processes of twisting, writhing and bending of magnetic field (MF) flux tubes to the level of a local maximum (optimally global), which is determined by the plasma parameters, boundary conditions, tension of magnetic field lines, etc., and corresponding the MF strength and stochasticity in a limited plasma volume. At this stage of MF turbulent pumping, which corresponds to the α-dynamo physical process, β of the plasma will decrease to the minimum possible value with a corresponding increase in the accumulated "topological" energy of the MF;
  2. when reaching the local (if possible global) maximum of the MF strength and stochasticity, turbulent magnetic reconnection (TMR) occurs in many places of the plasma, which lowers the state of the local (if possible global) maximum of the MF strength and stochasticity and increases the kinetic stochasticity of the plasma particles, accelerating and heating them, which is used in direct energy converters (DECs), and receiving coils of electrical energy. At this stage of turbulent discharge, which corresponds to multiple TMR, β of the plasma will increase to the maximum possible value with a corresponding increase in its kinetic and thermal energy.

When the kinetic stochasticity of plasma particles decreases and reaches a minimum, the control system repeats the MF's turbulent pumping, generating multiple α-dynamo processes in the plasma, and the cycle repeats. 

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  • About the Entrant

  • Name:
    Oleg Agamalov
  • Type of entry:
    individual
  • Software used for this entry:
    generative artificial intelligence chatbot Gemini
  • Patent status:
    none