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

被引：2

作者：

Zhang, Saile ^{[1
,2
]}

Zheng, Huilong ^{[1
]}

Zhang, Zhongya ^{[1
]}

Zhang, Tan ^{[1
]}

Yang, Xiaofang ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Engn Thermophys, Beijing 100190, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

来源：

INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW | 2024年 / 107卷

关键词：

Sensor probe; Internal cooling; Multi -objective optimization; NSGA-II algorithm; HEAT-TRANSFER; SHAPE OPTIMIZATION; GAS-TURBINES; PIN-FIN; CHANNEL; AIRFOIL; PERFORMANCE; SURFACE; RIB;

D O I：

10.1016/j.ijheatfluidflow.2024.109332

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

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.

引用

页数：15

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