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http://dx.doi.org/10.3795/KSME-B.2014.38.11.925

Heat Exchanger Ranking Program Using Genetic Algorithm and ε-NTU Method for Optimal Design  

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)
Publication Information
Transactions of the Korean Society of Mechanical Engineers B / v.38, no.11, 2014 , pp. 925-933 More about this Journal
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.
Keywords
CFD; Genetic Algorithm; Heat Exchanger; ${\varepsilon}-NTU$; Sizing; Optimization;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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