In order to study the fuel mass flow rate regulation characteristics of tube-in-hole for solid fuel ramjet, the flow field of turbulent combustion was numerically analyzed.

During the research on solid fuel ramjet (SFRJ), it is an important link for the design and experiment of SFRJ that a suitable mathematical model is built to simulate its internal work process.

The neural network is adopted to study the burning rate identification of the solid fuel ramjet.