A series of four-start spirally corrugated tubes has been subjected to heat transfer and hydrodynamic testing in a double-pipe heat exchanger. The study has been focused on the non-symmetric nature of the corrugation angles along the longitudinal direction. Both friction factors and heat transfer coefficients inside the tubes have been correlated against various process parameters. It can be shown that by altering the internal non-symmetric wavy shapes of the tubes, one is able to manipulate heat transfer and friction characteristics. The experimental results have been compared with some popular correlation models developed previously for both friction and heat transfer for corrugated tubes. Considerable differences between the experimental results and the predictions made using the existing correlations have been found and the probable causes have been discussed. Performance evaluation criteria are presented using the standard constant power criterion. A neural network modeling approach has been taken so that, based on the limited data, one can generate the contour showing the effect of corrugation angle on heat transfer coefficient for geometry optimization purposes.

Issue Section:
Heat Transfer Enhancement
Keywords:
heat transfer, hydrodynamics, friction, pipe flow, heat exchangers, optimisation, neural nets, Enhancement, Heat Transfer, Heat Exchangers, Internal
Topics:
Artificial neural networks, Friction, Heat exchangers, Heat transfer, Heat transfer coefficients, Performance evaluation, Flow (Dynamics), Reynolds number
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