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유량 변화와 다양한 형상변수를 고려한 펌프 임펠러 형상 최적설계
이상아(Sanga Lee),이경록(Kyung-Rock Lee),최원석(Won-Seok Choi),김규홍(Kyu-Hong Kim) 대한기계학회 2013 대한기계학회 춘추학술대회 Vol.2013 No.12
Pump is designed for operating at rated flow point but actual flow rate passing through pump changed by operating requirement. So, when designing a pump, some operating flow rate range is considered, but it’s not easy to enhancing pump efficiency at entire flow rate range. In this paper, optimization method is applied to pump impeller shape optimization problem for enhancing pump efficiency at entire flow rate. For this, meridional plane and blade angle is defined as some variables and choosing design variables among them by sensitivity analysis. Experimental points selected by DOE construct response surface model and optimum point is explored by searching algorithm. For solving lots of experimental points, automotive solving process is implemented using CFX batch mode and commercial optimization program Isight is used for optimization process. Finally, optimal design has enhanced pump efficiency at entire flow rate region.
다목적 최적화 기법을 이용한 펌프 임펠러 형상 최적설계
최원석(Won-Seok Choi),이상아(Sanga Lee),이경록(Kyung-Rock Lee),김규홍(Kyu-Hong Kim) 대한기계학회 2013 대한기계학회 춘추학술대회 Vol.2013 No.12
One of the key elements of performance of a pump is NPSHr along with the efficiency. NPSHr is a parameter which describes how safely the pump operates without cavitation. Cavitation decreases head and generates noise and vibration, in a worst case, damages the impeller. In this paper, shape optimization for a pump impeller was performed using multiobjective optimal method considering the efficiency and NPSHr. 57 design variables were defined according to blade angle and thickness and meridional plane and 6 variables were determined which significantly affects the efficiency and NPSHr through sensitivity analysis. Response surface model was composed of experimental points selected by DOE. In order to calculate a lot of experimental points, automated calculating process was implemented using CFX batch mode. Finally, multi-objective optimization based on genetic algorithm was performed. Through such process, the efficiency and NPSHr of the impeller were enhanced.