다중목적 최적화기법을 이용한 원심압축기 임펠러 설계

다국어 초록 (Multilingual Abstract)

This paper presents a design optimization of a centrifugal compressor impeller with hybrid multi-objective evolutionary algorithm (hybrid MOEA). Reynolds-averaged Navier-Stokes equations with shear stress transport turbulence model are discretized by finite volume approximations and solved on hexahedral grids for flow analyses. Two objectives, i.e., isentropic efficiency and total pressure ratio are selected with four design variables defining impeller hub and shroud contours in meridional contours to optimize the system. Non-dominated Sorting of Genetic Algorithm (NSGA-Ⅱ) with ε-constraint strategy for local search coupled with Radial Basis Neural Network model is used for multi-objective optimization. The optimization results show that isentropic efficiencies and total pressure ratios of the five cluster points at the Pareto-optimal solutions are enhanced by multi-objective optimization.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 유동해석방법
• 3. 목적함수 및 설계변수
• 4. 최적설계기법
• 5. 결과 및 고찰
• 6. 결론
• 참고문헌