Yes / The ever-increasing demand for high-processing
electronic systems has unequivocally called for improved
microprocessor performance. However, increasing
microprocessor performance requires increasing power and on-chip
power density, both of which are associated with increased
heat dissipation. Electronic cooling using fins have been
identified as a reliable cooling approach. However, an
investigation into the thermal behaviour of fin would help in the
design of miniaturized, effective heatsinks for reliable
microprocessor cooling. The aim of this paper is to investigates
the simultaneous effects of surface roughness, porosity and
magnetic field on the performance of a porous micro-fin under a
convective-radiative heat transfer mechanism. The developed
thermal model considers variable thermal properties according
to linear, exponential and power laws, and are solved using
Chebychev spectral collocation method. Parametric studies are
carried using the numerical solutions to establish the influences
of porosity, surface roughness, and magnetic field on the microfin
thermal behaviour. Following the results of the simulation, it
is established that the thermal efficiency of the micro-fin is
significantly affected by the porosity, magnetic field, geometric
ratio, nonlinear thermal conductivity parameter, thermogeometric
parameter and the surface roughness of the micro-fin.
However, the performance of the micro-fin decreases when it
operates only in a convective environment. In addition, we
establish that the fin efficiency ratio which is the ratio of the
efficiency of the rough fin to the efficiency of the smooth fin is
found to be greater than unity when the rough and smooth fins
of equal geometrical, physical, thermal and material properties
are subjected to the same operating condition. The investigation
establishes that improved thermal management of electronic
systems would be achieved using rough surface fins with
porosity under the influences of the magnetic field. / Supported in part by the Tertiary Education Trust Fund of Federal Government of Nigeria, and the European Union’s Horizon 2020 research and innovation programme under grant agreement H2020-MSCA-ITN- 2016SECRET-722424.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/16639 |
| Date | 30 October 2018 |
| Creators | Oguntala, George A., Sobamowo, G., Eya, Nnabuike N., Abd-Alhameed, Raed |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Article, Accepted manuscript |
| Rights | © 2019 IEEE. Reproduced in accordance with the publisher's self-archiving policy. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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