The application of combined electric and magnetic fields is proposed for better heat transfer enhancement in a porous fin system. An inverse estimation technique is established to simultaneously determine the interior thermal energy production and strengths of electrical and magnetic fields, by solely using the surface temperature field. At first, verified direct solutions based on the fourth-order Runge–Kutta method are obtained for the computation of the temperature field, and then three unidentified parameters are estimated using the inverse procedure supported by the Artificial Bee Colony (ABC) algorithm. The corresponding analytical solution is evaluated using the differential transformation method. The existing investigation demonstrates that even though various parametric groups sustain a particular thermal field, amongst them, the nearly unique value of the thermomagnetic field governs the heat transport phenomena. Additionally, the joint interaction between the electric field and thermal-energy-generation parameter is accountable for the observed temperature field. In spite of the effect of random noise levels within +/− 11%, the ABC-based inverse solution technique is found to establish the thermal criteria and to excellently reconstruct the given thermal field within a less than 1% error margin with respect to the ideal situation. For any case, 50 iterations of ABC are observed to be satisfactory. For fulfilling the desired rate of thermal energy transfer from porous fins, the present prediction scheme is suggested to be beneficial in properly adjusting the electrical and magnetic fields along with the unknown state of thermal energy production.


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    Titel :

    Prediction of Heat-Generation and Electromagnetic Parameters from Temperature Response in Porous Fins


    Beteiligte:
    Das, Ranjan (Autor:in) / Kundu, Balaram (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2021-04-08


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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