Conference Papers

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    Flow induced hotspot migration studies with heat spreader integrated microchannels using reduced graphene oxide nanofluids
    (Institute of Electrical and Electronics Engineers Inc., 2018) Narendran, G.; Gnanasekaran, N.; Arumuga Perumal, D.A.
    The present study involves experimental and numerical investigations of laminar forced convection in parallel microchannel heat sink accompanied with heat spreader of size 30 mm2. Water and reduced graphene oxide nanofluid of 0.07-0.12 vf % is used as working fluid. The numerical study is performed by incorporating the thermo physical properties of reduced graphene oxide nanofluid for different Reynolds number (Re) ranging from 150 to 360 for a constant heat flux of 35 W/cm2. Additionally, studies on migration of hotspot with heat spreader from the bottom of the heat sink under varying Reynolds number are also discussed. © 2018 IEEE.
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    Hydrodynamic Performance of Graphene Oxide nanofluid in heat spreader integrated microchannel
    (Toronto Metropolitan University, 2019) Narendran, G.; Gnanasekaran, N.; Arumuga Perumal, D.A.
    Thermal design consideration is highly essential for managing advanced microprocessors which are subjected to conjugate heat transfer under high heat flux with a minimal area for cooling. These multicore processors develop a localized high density heat flux referred as hotspot. It is often reported that the flow hydrodynamics in the channels thrive the hotspot zones in the microchannel heat sink (MHS) that effectively reduces the cooling performance in advanced 3D processors with varying power map cores. In this present study an experimental setup was developed to investigate the flow hydrodynamic and conjugate heat transfer performance of rectangular microchannel by using a thin heat spreader. Graphene Oxide nanofluid is used as the working fluid with three volume fractions (0.02%, 0.07% and 0.12%) for increased Reynolds number range from 150 to 260. Figure of Merit on thermal performance of nanofluid based on different influential factors has been investigated and the best suited nanofluid under various circumstances was found to be 0.12%-Graphene Oxide. © 2019, Toronto Metropolitan University. All rights reserved.