@Article{2019.100000109,
AUTHOR = {Jilin Zhang, Xuechao Liu, Jian Wan, Yongjian Ren, Binglin Xu, Jianfan He, Yuchen Fan, Li Zhou, Zhenguo Wei, Juncong Zhang, Jue Wang},
TITLE = {Numerical Optimization Algorithm for Unsteady Flows of Rotor Based on Web Service},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {3},
PAGES = {527--546},
URL = {http://www.techscience.com/iasc/v25n3/39683},
ISSN = {2326-005X},
ABSTRACT = {A numerical optimization algorithm for unsteady flows of rotor based on web 
service is proposed. Space discretization uses the finite volume method, time 
discretization uses the implicit dual-time steps method, and turbulence model 
uses the Spalart–Allmaras (S–A) model. In order to efficiently use the 
computing resources of the cluster, a service-oriented service computing 
architecture is used in a parallel computing service program. In order to realize 
the load balance of hybrid grid partition, the grid is partitioned by Metis Library. 
Meanwhile, data communication based on Message Passing Interface (MPI) 
technology guarantees the consistency of convergence between parallel 
algorithm and serial algorithm and establishes virtual boundaries for each 
partition to ensure data exchange among partitions. By simulating the forward 
flight state of the Robin fuselage/rotor model, the experimental results coincide 
with the serial program, and the parallel efficiency is high.},
DOI = {10.31209/2019.100000109}
}