A statistical experimental design method (the Taguchi method with L 9 orthogonal array robust design) has been implemented to optimize experimental conditions for maximizing the overall heat transfer coefficient of Fe 2 O 3 –water nanofluid in an air-cooled heat exchanger. The following controllable factors, each one at three levels, were chosen as operating conditions: nanofluid concentration (0.15, 0.4, and 0.65 vol %), nanofluid temperature (50, 65, and 80°C), nanofluid flow rate (0.3, 0.4, and 0.5 m 3 / h ), and airflow rate (740, 870, and 1009 m 3 / h ). Analysis of the experiments indicated that the airflow rate has the most contribution in the overall heat transfer coefficient of nanofluid with 42.3%. The optimum levels were determined for the four factors as follows: nanofluid concentration 0.65 vol %, nanofluid temperature 50°C, nanofluid flow rate 0.5 m 3 / h , and airflow rate 1009 m 3 / h . The predicted overall heat transfer coefficient of nanofluid at those conditions was 87.23 W / m 2 K . The confirmation experiment has also been carried out at the optimum conditions. There is a good agreement between the predicted and the experimental results.


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    Title :

    Statistical Analysis of Nanofluid Heat Transfer in a Heat Exchange System


    Contributors:

    Published in:

    Publication date :

    2013-04-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






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