Abstract:
In the present investigation, a numerically driven
direct and inverse study is conducted for the simultaneous prediction of the internal heat generation, electric field, and magnetic
field strengths in porous pin fins from the surface temperature
profile in electronic cooling applications. Consideration under
imposed electrical and magnetic fields along with all modes of
heat transport is given. Initially, duly-verified forward solutions
are generated for the calculation of the temperature profile, and
subsequently, three unknown parameters are predicted at the
same time using the inverse methodology assisted by the artificial
bee colony (ABC) algorithm. Here, numerical case studies have
been presented to discover a suitable relation between the three
parameters estimated by the ABC methodology. The current
research envisages that even though a wide range of probable
parametric combinations exist sustaining the prescribed thermal
profile, however, the magnetic field parameter mostly governs the
thermal phenomenon, while, the effect of mutual interplay among
the electrical field and internal heat generation parameters
is responsible for the temperature distribution under a given
measurement error. Even with the influence of random perturbations, the ABC-assisted inverse methodology is observed to
precisely simulate and determine the required thermal criterion
and establish the available thermal field within the 4.55% error
margin. Toward meeting a necessary heat transfer rate from
porous pin fins, the proposed strategy is claimed to be valuable for
appropriately controlling the electric and magnetic fields along
with the indefinite state of interior heat generation rate.
