scholarly journals Robust Turbine Blade Optimization in the Face of Real Geometric Variations

2018 ◽  
Vol 34 (6) ◽  
pp. 1479-1493 ◽  
Author(s):  
Jan Kamenik ◽  
Ivan Voutchkov ◽  
David J. J. Toal ◽  
Andy J. Keane ◽  
Lars Högner ◽  
...  
Keyword(s):  
Turbine Blade ◽  
Blade Optimization ◽  
The Face

High-order redesign method for wind turbine blade optimization in model test considering aerodynamic similarity

2020 ◽  
Vol 202 ◽  
pp. 107156
Author(s):  
Zhe Chen ◽  
Yanping He ◽  
Yongsheng Zhao ◽  
Long Meng ◽  
Chong He ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Model Test ◽  
High Order ◽  
Wind Turbine Blade ◽  
Blade Optimization

110 Studies on LP Turbine Blade Optimization using Genetic Algorithm

2004 ◽  
Vol 2004.39 (0) ◽  
pp. 20-21
Author(s):  
Kenichi FUNAZAKI ◽  
Kazutoyo YAMADA ◽  
Arisa ITO ◽  
Toshiaki IKOHAGI
Keyword(s):  
Genetic Algorithm ◽  
Turbine Blade ◽  
Blade Optimization ◽  
Lp Turbine

Proposal for a coupled aerodynamic–structural wind turbine blade optimization

2017 ◽  
Vol 159 ◽  
pp. 144-156 ◽  
Author(s):  
Andrea Dal Monte ◽  
Stefano De Betta ◽  
Marco Raciti Castelli ◽  
Ernesto Benini
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Wind Turbine Blade ◽  
Blade Optimization

190 Rocket engine turbine blade optimization using adaptive DoE and SBO

2016 ◽  
Vol 2016.51 (0) ◽  
pp. 177-178
Author(s):  
Yukiya KAKUDATE ◽  
Ken-ichi FUNAZAKI ◽  
Hiromasa KATO ◽  
Kazuyuki YADA ◽  
Masaharu UCHIUMI
Keyword(s):  
Turbine Blade ◽  
Rocket Engine ◽  
Blade Optimization

Advanced Aerodynamic Optimization System for Turbomachinery

2008 ◽  
Vol 130 (2) ◽  
Author(s):  
Bo Chen ◽  
Xin Yuan
Keyword(s):  
Turbine Blade ◽  
Evaluation System ◽  
Optimization Technique ◽  
Parametric Modeling ◽  
Parallel Optimization ◽  
Tvd Scheme ◽  
Optimization Strategy ◽  
Aerodynamic Optimization ◽  
Optimization System ◽  
Blade Optimization

To further improve the efficiency of turbomachinery, an advanced aerodynamic optimization system has been developed for the turbomachinery blade optimization design. The system includes parametric modeling, evaluation system, and optimization strategy modules. The nonuniform rational B-spline technique is successfully used for parametric modeling of different blade shapes. An in-house viscous flow code, which combines the lower-upper symmetric-Gauss-Seidel Gaussian elimination (LU-SGS-GE) implicit scheme and the modified fourth-order monotone upstream-centered schemes for conservation laws total variation diminishing (MUSCL TVD) scheme, has been developed for flow field evaluation, which can be replaced by other computational fluid dynamics codes. The optimization strategy is defined by different cases in the system. Parallel optimization technique was used to accelerate the optimization processes. Three test cases were optimized to improve the efficiency by using the system. These cases are the annular turbine cascades with a subsonic turbine blade, a transonic turbine blade, and a subsonic turbine stage. Reasonably high efficiency and performance were confirmed by comparing the analytical results with those of the previous ones. The advanced aerodynamic optimization system can be an efficient and robust design tool to achieve good blade optimization designs in a reasonable time.

scholarly journals Progress in Net Shape Fabrication of Alpha SiC Turbine Components

1983 ◽  
Author(s):  
R. S. Storm ◽  
R. G. Naum
Keyword(s):  
Turbine Blade ◽  
Ceramic Component ◽  
Optimization Program ◽  
Blade Optimization ◽  
The Status ◽  
Component Development ◽  
Large Injection ◽  
Slip Cast ◽  
Injection Molded

An update on the status of ceramic component development in the AGT and CATE Programs will be presented. Activity on the DDA AGT Program has focused on injection molded rotors in addition to static components. Fabrication of components for the Garrett AGT Program emphasized the very large injection molded turbine shroud and injection molded interchangeable segmented stator as well as slip cast and isopressed components. The fabrication aspect of the CATE Turbine Blade Optimization Program will also be reviewed.

scholarly journals A hybrid multi-objective evolutionary algorithm for wind-turbine blade optimization

2014 ◽  
Vol 47 (8) ◽  
pp. 1043-1062 ◽  
Author(s):  
M. Sessarego ◽  
K.R. Dixon ◽  
D.E. Rival ◽  
D.H. Wood
Keyword(s):  
Wind Turbine ◽  
Evolutionary Algorithm ◽  
Turbine Blade ◽  
Wind Turbine Blade ◽  
Multi Objective ◽  
Blade Optimization
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