摘要：The modelization and optimization of mixed convection flow through an internally finned tube is a complicated task due to its complex geometry and flow pattern. Advancement of layout for modelling and optimization may direct to quick and successful commercialization of heat transfer enhancement. In the present work, computational fluid dynamics (CFD) together with multi-objective optimization study of an internally finned tube has been performed using the response surface methodology (RSM). For the optimization, the Box-Behnken of response surface methodology (RSM) is exploited from the Design Expert 7.0.0 software. The main purpose of the present work is to find an appropriate combination between maximize the heat transfer enhancement and the reduction in friction loss. The effects of the fin height, fin width and the fin number on the heat transfer enhancement in the form of Nusselt number (Nu) and friction factor multiplied by Reynolds number (fRe) have been investigated. The experimental investigation recommends a strong interaction between the input parameter and the output responses. The results of the numerical model are compared with the analytical results for validation of the model. The numerical model provides an inexpensive and time saving alternative to study the performance of responses avoiding the experimental error runs. Finally a non-dominated sorting genetic algorithm (NSGA) has been proposed for the multi objective optimization of the responses. It was found that numerical and RSM can be applied for optimization of heat transfer analysis of internally finned tube. The results show that at the lower level of fin height , the Nusselt number has an increasing trend with the increase in fin number but decreases beyond fin number of 7. Similar trend is also observed at higher level of fin height. Moreover , it is found that the contribution of fin thickness, for variations of Nusselt number (Nu) and (fRe) , is not significant as compared to fin height and fin number.
关键词：esponse Su face Methodology (RSM); Heat exchanger; Optimization; Internally finned tube ; ; Computational fluid dynamics (CFD)
