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CSME 2025/04
Volume 46 No.2
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109-119
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Heat Transfer Analysis and Optimal Design of a Double-pipe Heat Exchanger with Swirl Fins
Huan-Sen Peng a, Wei-Hong Chen b and Chieh-Li Chen c
aSenior Engineer, Electronic and Optoelectronic System Research Laboratories, Industrial Technology Research Institute, Hsinchu, TAIWAN 30076
bGraduate Student, Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, TAIWAN 70101
cDistinguished Professor, Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, TAIWAN 70101
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Abstract:
An investigation of thermohydraulic performance of a double-pipe heat exchanger with swirl fins were performed by using numerical simulation and single objective optimization method. In this study, the geometric parameters of swirl fins include the ratio of width of inner fin roots to circumference of inner flow passage, the number of fins, the height of fins and the swirl angle of fins were examined. Besides, fixed Reynolds number and constant inlet temperature were assumed for the simulation. The friction factor and Nusselt number were analyzed for getting the relations between fin geometry and thermohydraulic characteristics in the pipe. Moreover, the neural network method with the genetic algorithm was used to build performance model of heat exchanger for design optimization. The performance evaluation criteria (PEC) of the heat exchanger was introduced as the index for searching the optimal design parameters. In addition, the optimal design parameters were verified with numerical simulations and compared with other parameters. The results show the robustness of optimal solution. This study also demonstrates the accuracy of the single-objective optimization method and the practicality of numerical modeling with neural network training. The design methodology in this study can be used as a reference for the design of other types of heat exchanger.
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Keywords: double-pipe heat exchanger, neural network, genetic algorithm, optimized design.
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*Corresponding author; e-mail:
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©
2025
CSME , ISSN 0257-9731
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