高速运载器燃油热管理系统优化

With the rapid development of multi-electrification of aircraft and airborne high-energy electronic equipment, the design of fuel heat management system has been paid great attention to. The most critical factor is the thermal load capacity of fuel. For jet propulsion high-speed aircraft, this paper presents a multi-objective optimal allocation method for a large-scale and multi-task fuel heat management system. The thermal carrying capacity of fuel decreases with the increase of flight time, due to the dual effect of airborne thermal load and aerodynamic heating. In this paper, the improved genetic algorithm NSGA-Ⅱ is used to optimize the design of two targets under different flight mission planning. The objective function is heat sink efficiency and fuel compensation loss. The optimization variables are the maximum flow rate of the fuel cycle, the consumption of coolant and the heat load on board. The objective function Pareto optimal solution set is obtained to meet the expected model selection principle of the fuel heat management system. By analyzing the correlation between the optimized variable and the optimization target, the optimization configuration criterion and the minimum fuel compensation loss can be quantified, and the airborne efficient heat management system supporting the multiple heat sink reconstruction is designed.