Parametric optimization method of optoelectronic air-cooling system on loitering missile

With the development of the loitering missile weapon system, the requirements of miniaturization, multi-function and high integration of the optoelectronic load on the loitering missile are getting higher and higher, and the accompanying heat dissipation problem is becoming increasingly prominent. In order to solve the problem of poor heat dissipation performance of the optoelectronic system on loitering missile, an optimization design method of air-cooling system based on parametric modeling was established. The designable parameters of the air-cooling system were firstly determined, then the several groups of sample points based on the Latin hypercube sampling method were selected, and the output response of each sample point corresponding to the input parameters through ICEPAK simulation calculation was obtained, thereby establishing the air-cooling radiator Kriging proxy model. Then, based on the proxy model, the adaptive simulation annealing (ASA) algorithm was used to optimize the air-cooling system. Finally, the optimization results were substituted into the thermal simulation model to verify its accuracy. Taking a small missile-borne optoelectronic system as an example, the thermal simulation analysis of the air-cooling radiator under empirical design was carried out to optimize the temperature minimization of heat source chip. The results show that compared with the empirical design, the optimized air-cooling radiator can reduce the temperature rise of the heat source by 28.5%, which effectively improves the heat dissipation level of the missile-borne optoelectronic system, and meets the requirements of system design.