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- W2014468858 abstract ": 질량 유량 NTU : 전달단위수 Nu : Nusselt수 Pr : Prandtl 수 p : 압력차 q : 열전달량 Key Words: CFD(전산유체역학), Genetic Algorithm(유전알고리즘), Heat Exchanger(열교환기), e-NTU(유용도-전달단위수), Sizing(사이징), Optimization(최적화) 초록: 오늘날 고성능컴퓨터로 인해 많은 산업분야에서 전산해석이 사용되고 있다. 하지만 정해진 컴퓨터자원과 시간에 의해 3차원 풀 스케일 해석에서는 많은 어려움 등이 있다. 본 연구에서 e-NTU식과 열교환기 성능의 데이터베이스를 이용해 열교환기의 성능예측프로그램을 개발하였다. 다양한 타입의 열교환기 형상정보와 성능데이터베이스를 구축하였고, 이를 바탕으로 정해진 작동 조건에서 열교환기의 성능을 계산하였다. 계산된 정보를 바탕으로 최적의 사이즈를 갖는 형상을 찾기 위해 유전알고리즘(Genetic Algorithm)을 이용하였다. 계산을 위해 상용 소프트웨어인 MATLAB과 REFPROP이 사용되었다. Abstract: Today, computational fluid dynamics (CFD) is widely used in industry because of the availability of high-performance computers. However, full-scale analysis poses problems owing to the limited resources and time. In this study, the performance and optimal size of a heat exchanger were calculated using the effectiveness-number of transfer units (e-NTU) method and a database of characteristics heat exchanger. Information about the geometry and performance of various heat exchangers is collected, and the performance of the heat exchanger is calculated under the given operating conditions. To determine the optimal size of the heat exchanger, a Genetic Algorithm (GA) is used, and MATLAB and REFPROP are used for the calculation." @default.
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- W2014468858 date "2014-11-01" @default.
- W2014468858 modified "2023-10-18" @default.
- W2014468858 title "Heat Exchanger Ranking Program Using Genetic Algorithm and ε-NTU Method for Optimal Design" @default.
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- W2014468858 doi "https://doi.org/10.3795/ksme-b.2014.38.11.925" @default.
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