TY - JOUR
T1 - 基于响应面方法的喷水推进器进水流道多目标优化
AU - Zhang, Fuyi
AU - Wu, Qin
AU - Zhao, Xiaoyang
AU - Liu, Ying
AU - Wang, Guoyu
N1 - Publisher Copyright:
© 2020, Editorial Board of Acta Armamentarii. All right reserved.
PY - 2020/10
Y1 - 2020/10
N2 - The key structural parameters of inlet duct are optimized to improve the flow performance of inlet duct of water-jet propulsion. The inclination angle α and radius RT are optimized for higher efficiency η of inlet duct, higher weighted average angle θ of outlet velocity and non-uniformity coefficient ξ of lower outlet velocity in the cases of given diameter D, height H, and overall length L of inlet duct. There are 35 sets of sample points in design space selected by using central composite design and Latin hypercube sampling design method. Quadratic polynomials are employed to construct a response surface model based on the sample points, which reflects the relationship between design and target variables. The Pareto optimal solution set is obtained by the multi-objective genetic algorithm during the optimization process. Good optimization was obtained. The research results show that the efficiency of duct is increased from 91.2% to 94.1%, the outlet velocity weighted average angle is increased from 82.5° to 87.1°, and the non-uniformity coefficient of outlet velocity is decreased from 0.152 to 0.068.
AB - The key structural parameters of inlet duct are optimized to improve the flow performance of inlet duct of water-jet propulsion. The inclination angle α and radius RT are optimized for higher efficiency η of inlet duct, higher weighted average angle θ of outlet velocity and non-uniformity coefficient ξ of lower outlet velocity in the cases of given diameter D, height H, and overall length L of inlet duct. There are 35 sets of sample points in design space selected by using central composite design and Latin hypercube sampling design method. Quadratic polynomials are employed to construct a response surface model based on the sample points, which reflects the relationship between design and target variables. The Pareto optimal solution set is obtained by the multi-objective genetic algorithm during the optimization process. Good optimization was obtained. The research results show that the efficiency of duct is increased from 91.2% to 94.1%, the outlet velocity weighted average angle is increased from 82.5° to 87.1°, and the non-uniformity coefficient of outlet velocity is decreased from 0.152 to 0.068.
KW - Inlet duct
KW - Multi-objective genetic algorithm
KW - Optimization design
KW - Response surface method
KW - Water-jet propulsion
UR - http://www.scopus.com/inward/record.url?scp=85097068481&partnerID=8YFLogxK
U2 - 10.3969/j.issn.1000-1093.2020.10.017
DO - 10.3969/j.issn.1000-1093.2020.10.017
M3 - 文章
AN - SCOPUS:85097068481
SN - 1000-1093
VL - 41
SP - 2071
EP - 2080
JO - Binggong Xuebao/Acta Armamentarii
JF - Binggong Xuebao/Acta Armamentarii
IS - 10
ER -