Ion Bernstein wave (IBW) heating has been investigated in the HT-7 superconducting tokamak. Electron heating mode was concentrated on deuterium plasma with an injecting power to 320 kW. The bulk electron temperature showed a significant rise with a heating factor, T e × n e /P RF , up to 9.4 eV × 10 13 cm −3 kW −1 . The direct electron heating via electron Landau damping from IBW has been demonstrated after intensive RF wall conditioning. Both on-axis and off-axis electron heating were obtained. Electron temperature profile was modified by IBW under different plasma conditions. Edge density showed no sharp drop during IBW heating. Plasma density and temperature remained almost unchanged in front of antenna. But edge temperature and density inside of plasma visibly increased and their profiles became steeper. Particle confinement improvement was observed by IBW.

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The turbulence-chemistry interaction model with finite-rate chemistry is a common model for solving supersonic turbulent combustion and takes into consideration the interaction between turbulent mixing and chemical reactions as well as finite chemistry reaction instead of the fast chemistry assumption. However, not only the density and viscosity but also the chemical reactions are affected by the compressibility of the flow field with an increasing Mach number. Considering engineering applications, the compressibility correction was introduced to two recent turbulence-chemistry interaction models with finite-rate chemistry, the Partially Stirred Reactor (PaSR) model and Unsteady PaSR (UPaSR) model, in a Reynolds-averaged Navier-Stokes framework. Numerical simulations of two typical supersonic combustors showed that the interaction between the turbulence and combustion was intensive within complex supersonic chemical reaction flow and could be described by the fine-scale structure volume fraction. The distributions of temperature, pressure, velocity and components somewhat downstream of fuel injection areas were most obviously improved by the presented models. Moreover, the increase in computational time consumption by the compressibility correction was less than 2%. It was found that the Compressible PaSR (C-PaSR) model and the UPaSR model show better consistency with experimental results than the traditional PaSR model.

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