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Computational optimization of the internal cooling passages of a guide vane by a gradient-based algorithm
- Source :
- Numerical Heat Transfer, Part A: Applications. 69:1311-1331
- Publication Year :
- 2016
- Publisher :
- Informa UK Limited, 2016.
-
Abstract
- To keep the spatially averaged temperature and thermal stress of gas turbine blades and guide vanes within a permissible level, the present research concentrates on the optimization of the internal cooling passages in a guide vane. The main purpose is to search for the most optimal sizes, distributions, and shapes of internal cooling channels located in a guide vane. Cylindrical cooling passages and newly built passages shaped by Bezier curves are both considered in this investigation. In order to maintain the shapes of the cooling channels within the scale of the vane profile, a new technique is suggested to discretize the vane into the components, and then the outline of the passages is built based on the components. The optimization of sizes, locations, and shapes of the cooling passages is solved as a single-objective problem using a gradient-based optimization algorithm, i.e., the globally convergent method of moving asymptotes (GCMMA). The optimized result displays a substantial reduction in...
- Subjects :
- Numerical Analysis
Discretization
Scale (ratio)
020209 energy
Mechanical engineering
Bézier curve
02 engineering and technology
Condensed Matter Physics
Energy engineering
Gradient based algorithm
0202 electrical engineering, electronic engineering, information engineering
Physics::Accelerator Physics
Asymptote
Reduction (mathematics)
Geology
Computational optimization
Subjects
Details
- ISSN :
- 15210634 and 10407782
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- Numerical Heat Transfer, Part A: Applications
- Accession number :
- edsair.doi...........1614066d4397e3a1c5305d461a20f119