Multi-objective optimization design of internal cooling structure of a sensor probe.

• New structures based on NACA00XX fins are proposed. • The NSGA-II algorithm is employed to conduct multi-objective optimization with two objective functions and ten design variables. • The optimal solutions greatly improve the flow performance. This paper presents the design of new internal cooling structures basing on NACA00XX fins in the cooling channel of a sensor probe. Numerical simulations are conducted to compare the flow and heat transfer performance of each fin structure under different working conditions. The Nusselt number Nu and friction factor f are used as objective functions, considering the flow and heat transfer performance. The arrangement angles of eight fin structures at the bottom of the channel, the inlet velocity of the channel, and the thickness of the fin structures are considered as design variables. The NSGA-II algorithm is employed for multi-objective optimization with two objective functions and ten design variables. The optimized arrangement greatly improves the flow performance. For the two optimal solutions A and B of the Pareto front, the Nusselt number Nu decreases by 3.08% and increases by 0.84% respectively, the friction factor f decreases by 24.73% and 21.04% respectively. [ABSTRACT FROM AUTHOR]