Published October 2019 | Version v1
Journal article

Optimization of pre-swirl nozzle shape and radial location to increase discharge coefficient and temperature drop

  • 1. Hanyang University, Department of Mechanical Engineering (Korea, Republic of)
  • 2. Hanyang University, Department of Convergence Mechanical Engineering (Korea, Republic of)
  • 3. Agency for Defense Development, 5th Directorate, 4th R&D Institute (Korea, Republic of)

Description

Hole-type pre-swirl nozzle was optimized using CFD analysis and experiments. CFD methodologies were validated by comparing the CFD results with experiments. Four design variables were considered in the optimization process: Nozzle inlet length (L), outlet length (l), inlet diameter (D), and radial location (rp). The optimization process included the optimal Latin hypercube design sampling method with the Kriging surrogate model and genetic algorithm. The single-objective optimization was performed to maximize the discharge coefficient. Results showed that the optimized nozzle reduced total pressure losses and increased mass flow rate. Total temperature drop effectiveness was increased from 0.07 to 0.29. The total temperature in pre-swirl system could be characterized as the reduction in temperature by nozzle acceleration and elevation by aerodynamic losses due to friction and viscous effects in the system. The optimized model showed a discharge coefficient of 0.846, which was 31.7 % higher than the baseline condition. By improving the discharge coefficient the pre-swirl system reduced aerodynamic losses, and the mass flow rate was increased at certain pressure ratios or satisfied the pressure margin for blade cooling.

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Mechanical Science and Technology
Journal Volume
33
Journal Issue
10
Journal Page Range
p. 4855-4866
ISSN
1738-494X

INIS

Country of Publication
Korea, Republic of
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54085431
Subject category
S42: ENGINEERING;
Descriptors DEI
AERODYNAMICS; COMPUTERIZED SIMULATION; DESIGN; FLOW RATE; FRICTION; GENETIC ALGORITHMS; NOZZLES; OPTIMIZATION
Descriptors DEC
ALGORITHMS; FLUID MECHANICS; MATHEMATICAL LOGIC; MECHANICS; SIMULATION

Optional Information

Copyright
Copyright (c) 2019 KSME & Springer