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首页> 外文期刊>Aerospace science and technology >Multi-objective optimization of fuel-air tube-in-tube helical coil heat exchangers for cooled cooling air system applied in aeroengines
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Multi-objective optimization of fuel-air tube-in-tube helical coil heat exchangers for cooled cooling air system applied in aeroengines

机译:Multi-objective optimization of fuel-air tube-in-tube helical coil heat exchangers for cooled cooling air system applied in aeroengines

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摘要

In fuel-air heat exchangers used in cooled cooling air (CCA) systems, the power-to-weight ratio (G) has to be as high as possible and the air-side pressure drop (Δp_(air)) as low as possible. In this study, a numerical model of a fuel-air tube-in-tube helical coil heat exchanger used in CCA systems was developed. Multi-objective optimization of the heat exchanger was performed to resolve the conflict between C and Δp_(air) by combining response surface methodology and multi-objective genetic algorithm. Finally, an optimal combination of structural parameters was selected using the Pareto-optimal points captured by Non-dominated Sorting Genetic Algorithm-II. The results indicate that the realizable k - ε turbulence model makes the best prediction of thermal and hydraulic characteristics of the heat exchanger. The analysis of variance showed that the most significant parameter affecting G as well as Δp_(air) was the hydraulic diameter of the heat exchanger annulus side (d_h), followed by the inner diameter of the heat exchanger inner tube (d_(i,i)). The optimized structural parameters were d_(i,i) = 1 mm, d_h, = 2.3 mm, and number of turns = 4.5, and the corresponding values of G and Δp_(air) were 27.6 kW/kg and 255.7 kPa, respectively. In the optimized heat exchanger, G had increased by 5.34 and Δp_(air) reduced by 50.8.

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