| Abstract:Aiming at the inconsistent extreme working conditions of heat transfer and pressure drop during structural design of
airborne plate-fin radiator, a structural optimization algorithm considering multiple working conditions as constraints is proposed. A radia?
tor calculation model was established and its accuracy was verified. Based on genetic algorithm (GA) and particle swarm optimization
(PSO), an improved algorithm called GA-PSO was established. On the basis of this model, the working envelope of the radiator was taken
into account as inlet parameters, the structural parameters of the radiator were continuously improved to make sure that the heat transfer
and pressure drop calculated under different inlet parameters meet the constraint conditions. The results show that in solving multiple work?
ing condition optimization problems, GA-PSO algorithm has stronger global optimization ability and convergence than GA and PSO. The
optimization result has the smallest mass within the limited volume, with a minimum mass of 3.91kg, which is 14% lower than the original
radiator. At the same time, it also ensures that the pressure drop and heat transfer of the optimized radiator all meet the constraint require?
ments under any working conditions in the working envelope, which verifies the feasibility of the multiple working condition optimization
method of the radiator based on GA-PSO algorithm. |
