The comparison of incomplete sensitivities and Genetic algorithms applications in 3D radial turbomachinery blade optimization

Computers and Fluids

Volumn 39, Issue 10, 2010, Pages 2022-2029

  Derakhshan, Shahram ^a   Mohammadi, Bijan ^b   Nourbakhsh, Ahmad ^c  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b UNIV MONTPELLIER   (France)

^c UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Efficiency improvement; Genetic algorithms; Incomplete sensitivities; Neural network; Reverse pump

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CENTRIFUGAL PUMP IMPELLERS; EFFICIENCY IMPROVEMENT; GLOBAL METHODS; GLOBAL OPTIMIZATION METHOD; GLOBAL OPTIMUM; GRADIENT BASED OPTIMIZATION ALGORITHMS; GRADIENT-BASED METHOD; GRADIENT-BASED OPTIMIZATION METHOD; HIGHER EFFICIENCY; INCOMPLETE SENSITIVITIES; LOCAL METHODS; LOCAL OPTIMIZATIONS; MEASURED POINTS; NAVIER-STOKES FLOW SOLVER; NUMERICAL EFFICIENCY; OPTIMIZATION ALGORITHMS; RADIAL TURBOMACHINERY; REVERSE PUMP; TEST RIGS; TURBINE MODES;

AIRFOILS; CENTRIFUGAL PUMPS; EFFICIENCY; FLOW SIMULATION; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; HYDRAULIC MACHINERY; NAVIER STOKES EQUATIONS; OPTIMIZATION; PUMPS; THREE DIMENSIONAL; TURBOMACHINE BLADES;

NEURAL NETWORKS;

EID: 77956339921     PISSN: 00457930     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compfluid.2010.07.003     Document Type: Article

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