Transactions of the Korean Society of Mechanical Engineers B (대한기계학회논문집B)

The Korean Society of Mechanical Engineers (대한기계학회)
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Heat Exchanger Ranking Program Using Genetic Algorithm and ε-NTU Method for Optimal Design

유전알고리즘과 ε-NTU 모델을 이용한 다양한 열교환기의 최적설계 및 성능해석

  • Lee, Soon Ho (School of Mechanical Engineering, Pusan National University) ;
  • Kim, Minsung (School of Mechanical Engineering, Pusan National University) ;
  • Ha, Man Yeong (School of Mechanical Engineering, Pusan National University) ;
  • Park, Sang-Hu (School of Mechanical Engineering, Pusan National University) ;
  • Min, June Kee (Rolls-Royce Technology Centre in Thermal Management, Pusan National University)
  • 이순호 (부산대학교 기계공학부) ;
  • 김민성 (부산대학교 기계공학부) ;
  • 하만영 (부산대학교 기계공학부) ;
  • 박상후 (부산대학교 기계공학부) ;
  • 민준기 (부산대학교 롤스로이스 대학기술센터)
  • Received : 2014.04.11
  • Accepted : 2014.08.22
  • Published : 2014.11.01
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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 (${\varepsilon}-NTU$) 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.

오늘날 고성능컴퓨터로 인해 많은 산업분야에서 전산해석이 사용되고 있다. 하지만 정해진 컴퓨터자원과 시간에 의해 3 차원 풀 스케일 해석에서는 많은 어려움 등이 있다. 본 연구에서 ${\varepsilon}-NTU$ 식과 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 MATLAB 과 REFPROP 이 사용되었다.

Keywords

References

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