Performance Optimization of Fixed Honeycomb Panel Radiator Based on Multi-objective Genetic Algorithm
In response to the high heat dissipation and weight reduction for a low-orbit satellite,an optimization strategy for a honeycomb panel radiator has been proposed.The study has demon-strated that integrating external heat pipes enhances the heat dissipation capability and promotes even surface temperature uniformity of the radiator.By considering the layout parameters of heat pipes and fluid pipelines as design variables,a total of 72 sample combinations have been genera-ted using Optimal Latin Hypercube,and the Radial Basis Function(RBF)with the lowest error is employed to develop the surrogate model.The findings reveal that the iterative optimization process based on NSGA-Ⅱ results in a more than 25％enhancement in heat dissipation capacity,a 65％improvement in surface temperature uniformity,and a 32％reduction in the total mass of the radiator.The analysis of on-orbit thermal control capability indicates that the optimized radi-ator exhibits excellent heat dissipation performance and significant weight reduction advantages,which can provide reference for the design of fixed space radiators.
space radiatornumerical simulationmulti-objective genetic algorithmsurrogate modelheat dissipation optimization
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