| Title |
An Application of Multi-Objective Global Optimization Technique for Internally Finned Tube |
| Keywords |
Global optimization ; 전역 최적화 ; Internally finned tube ; 내부휜이 달린 원형관 ; Periodic boundary condition ; 주기적 경계조건 ; Multi-objective genetic algorithm ; 다목적 유전알고리즘 ; Pareto set ; 파레토 집합 |
| Abstract |
Shape optimization of internally finned circular tube has been performed for periodically fully developed turbulent flow and heat transfer. The physical domain considered in this study is very complicated due to periodic boundary conditions both streamwise and circumferential directions. Therefore, Pareto frontier sets of a heat exchanger can be acquired by coupling the CFD and the multi-objective genetic algorithm, which is a global optimization technique. The optimal values of fin widths(,) and fin height() are numerically ob-tained by minimizing the pressure loss and maximizing the heat transfer rate within ranges of 0.2∼1.5mm,0.2∼1.5mm, and0.2∼1.5mm. The optimal values of the design variables are acquired after the fifth generation and also compared to those of a local optimi-zation algorithm for the same geometry and conditions. |