A fast multiobjective optimization approach to S-duct scoop inlets design with both inflow and outflow

流入 流出 入口 多目标优化 计算流体力学 机械 导管(解剖学) 雷诺平均Navier-Stokes方程 数学优化 湍流 计算机科学 数学 控制理论(社会学) 工程类 物理 机械工程 气象学 医学 病理 人工智能 控制(管理)
作者
Lifang Zeng,Dingyi Pan,Shangjun Ye,Xueming Shao
出处
期刊:Proceedings Of The Institution Of Mechanical Engineers, Part G: Journal Of Aerospace Engineering [SAGE]
卷期号:233 (9): 3381-3394 被引量:5
标识
DOI:10.1177/0954410018795806
摘要

A fast multiobjective optimization method for S-duct scoop inlets considering both inflow and outflow is developed and validated. To reduce computation consumption of optimization, a simplified efficient model is proposed, in which only inflow region is simulated. Inlet pressure boundary condition of the efficient model is specified by solving an integral model with both inflow and outflow. An automated optimization system integrating the computational fluid dynamics analysis, nonuniform rational B-spline geometric representation technique, and nondominated sorting genetic algorithm II is developed to minimize the total pressure loss and distortion at the exit of diffuser. Flow field is numerically simulated by solving the Reynolds-averaged Navier–Stokes equation coupled with k–ω shear stress transport turbulence model, and results are validated to agree well with previous experiment. S-duct centreline shape and cross-sectional area distribution are parameterized as the design variables. By analyzing the results of a suggested optimal inlet chosen from the obtained Pareto front, total pressure recovery has increased from 97% to 97.4%, and total pressure distortion DC60 has decreased by 0.0477 (21.7% of the origin) at designed Mach number 0.7. The simplified efficient model has been validated to be reliable, and by which the time cost for the optimization project has been reduced by 70%.

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