Heat transfer and pressure drop correlations for the wavy fin and flat tube heat exchangers |
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| Affiliation: | 1. Institute of Refrigeration and Cryogenics, Shanghai Jiao Tong University, Shanghai 200030, China;2. Zhejing Yinlun Machine Co. Ltd., Zhejiang 317200, China;1. School of Chemical, Petroleum, and Gas Engineering, Semnan University, Semnan 35131-19111, Iran;2. Materials and Energy Research Center (MERC), Karaj, Iran;1. School of Automobile and Transportation, Qingdao University of Technology, Qingdao 266520, China;2. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;1. Key Laboratory of Thermo-Fluid Science and Engineering, Ministry of Education, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, PR China;2. State Key Laboratory of Strength and Vibration of Mechanical Structures, School of Aerospace, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China;1. Institute of Refrigeration and Cryogenics, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Shanghai 200240, China;2. Zhejiang Sanhua Intelligent Controls Co., Ltd., No. 219, Woxi Avenue, Meizhu Town, Xinchang, Shaoxing 312532, Zhejiang, China |
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| Abstract: | A total of 11 cross-flow heat exchangers having wavy fin and flat tube were studied experimentally. A series of tests were conducted for air side Reynolds number in the range of 800–6500 with different fin pitches, fin lengths and fin heights, at a constant tube-side water flow rate of 2.5 m3/h. The air side thermal performance data were analyzed using the effectiveness-NTU method. The characteristics of heat transfer and pressure drop for different geometry parameters were reported in terms of Colburn j-factor and Fanning friction factor f, as a function of Re. The effects of fin pitch, fin height and fin length on the performance of heat transfer and pressure drop were examined. The general correlations for j and f factors were derived by multiple linear regression analysis and F test of significance. The correlations for j and f factors can predict 95% of the experimental data within ±10%. |
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