Abstract
A rotating channel with staggered pin-fins is formulated numerically and optimized for performance (heat transfer/required pumping power) using a Kriging meta-model and hybrid multi-objective evolutionary algorithm. Two design variables related to cooling channel height, pin diameter, and spacing between the pins are selected for optimization, and two-objective functions related to the heat transfer and friction loss are employed. A design of experiment is performed, and 20 designs are generated by Latin hypercube sampling. The objective function values are evaluated using a Reynolds-averaged Navier-Stokes solver, and a Kriging model is constructed to obtain a Pareto-optimal front through a multi-objective evolutionary algorithm. Rotation in a cooling channel with staggered pin-fins induces Coriolis force that causes a heat transfer discrepancy between the trailing (pressure) and leading (suction) surfaces, with a higher Nusselt number on the trailing surface. The tradeoff between the two competing objective functions is determined, and the distribution of the Pareto-optimal solutions in the design space is discussed through k-means clustering. In the optimal designs, with a decrease in spacing between the pins, heat transfer is enhanced whereas friction loss is increased.
Original language | English |
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Pages (from-to) | 922-938 |
Number of pages | 17 |
Journal | International Journal for Numerical Methods in Fluids |
Volume | 68 |
Issue number | 7 |
DOIs | |
Publication status | Published - Mar 10 2012 |
Externally published | Yes |
Keywords
- Coriolis force
- Enhanced Pareto-optimal front
- Multi-objective optimization
- Turbine-blade cooling
ASJC Scopus subject areas
- Computational Mechanics
- Mechanics of Materials
- Mechanical Engineering
- Computer Science Applications
- Applied Mathematics