Optimization Design Method of Plate-Fin Radiator of Hybrid Electric Aircraft under Multiple Working Conditions
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.
plate-fin radiatormultiple working conditionsgenetic algorithmparticle swarm optimizationcold side pressure drophybrid electric aircraft
万方数据
维普
