The technology of flush inerting is generally used to protect fuel tank of civil aircrafts. First, Nitrogen Enriched Air (NEA) is generated by using air separation module (ASM-Air Separation Module); then Nitrogen Enriched Air air is passed into the upper space of the fuel tank, which dilutes the original oxygen in fuel tank of the upper gas space and the extra oxygen spilled from the oil due to the climbing or rocking of the aircraft.For requirements of civil aircraft fuel tank inerting technology, an experimental platform for the air separation module performance is built, and experiments under various operating conditions of ASM are carried out. It is revealed that the performance of ASM is mainly influenced by the operating temperature, inlet pressure or the altitude; based on the available experimental data, the Neural Network method is induced to independently simulate and predict the performance of ASM. In this thesis, a new mathematical model named Frequency-Mass Transfer Model is proposed to describe the mass transfer through the gas-liquid phase interface, and the calculating results are are compared with the experimental data of FAA, and its effectiveness is verified; by using the Frequency-Mass Transfer Model, mass transfer of oxygen and nitrogen in the fuel tank during climb and cruise is calculated, and the calculating results are compared with experimental data of A320. Fuel loading effects on the changes of oxygen concentration in the upper space of the fuel tank is also studied. The inerting effect is calculated under different concentration of NEA, which shows that 93% NEA is the optimal choice when the aircraft taxis on the ground. |