TY - JOUR
T1 - Amphibious Propeller Optimization for Aerial and Underwater Operation
AU - Genaro Carreon, C.
AU - Huerta, C. Oliver M.
AU - Alfredo Arias, M.
AU - Sergio Torres, C.
AU - Ortega H, José Ángel L.
N1 - Publisher Copyright:
© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - In this paper a novel methodology for biphasic flow (air-water) is presented. It involves a CST-parametrization and the optimization by NSGA-II coupled to design and optimize amphibious propellers, through CL, CD and CP coefficients, which allow to operate in aerial and underwater environment. Finally, the results of CL, CD and CP, were evaluated by XFoil CFD software before and after of the optimization and then compared to each other, Evolving the optimization process for 140 generations, give a total of 70000 individuals and obtain a relative improvement for the new propeller design as nearly as 30%.
AB - In this paper a novel methodology for biphasic flow (air-water) is presented. It involves a CST-parametrization and the optimization by NSGA-II coupled to design and optimize amphibious propellers, through CL, CD and CP coefficients, which allow to operate in aerial and underwater environment. Finally, the results of CL, CD and CP, were evaluated by XFoil CFD software before and after of the optimization and then compared to each other, Evolving the optimization process for 140 generations, give a total of 70000 individuals and obtain a relative improvement for the new propeller design as nearly as 30%.
KW - CFD simulation
KW - Genetic algorithm
KW - Multiobjetive optimization
KW - Propeller
UR - http://www.scopus.com/inward/record.url?scp=85085195568&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-45402-9_10
DO - 10.1007/978-3-030-45402-9_10
M3 - Artículo
AN - SCOPUS:85085195568
SN - 2211-0984
VL - 86
SP - 85
EP - 96
JO - Mechanisms and Machine Science
JF - Mechanisms and Machine Science
ER -