Experimental investigations on heat transfer in a new minichannel heat sink

Vajravel, Leela Vinodhan; Swaminathan, S.; Baskaran, S.; Sekar, Rajan K.

doi:10.1016/j.ijthermalsci.2019.02.029

Cited by 31 publications

(8 citation statements)

References 30 publications

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“…Moreover, these devices have been getting smaller day by day. These facts necessitate removing excess heat from the system effectively within a limited space due to maintaining reliable operating conditions [4][5][6][7]. Mini-channels have become one of the most promising solutions for meeting these needs due to their low material, working fluid, and space needs, as well as their high surface area/volume ratio [8].…”

Section: Introductionmentioning

confidence: 99%

“…They found the optimum values of channel height, channel width, wall thickness, and base thickness as 9 mm, 0.6 mm, 0.3 mm, and 0.3 mm respectively. In their experimental study, Vajravel et al [4] proposed a new mini-channel heat sink design for laminar flow conditions. Then, they compared the performance of their new design with the conventional mini-channel heat sink.…”

Section: Introductionmentioning

confidence: 99%

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Mini-channel heat exchanger optimization using genetic algorithm and multiple-criteria decision making

Subasi

2022

Journal of Thermal Engineering

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This study aims to apply an integrated optimization approach that combines Multi-objective Optimization (MOO) and Multiple-criteria Decision-making (MCDM) to optimize a multiport mini-channel having 2D sawtooth micro fins under laminar, transitional, and turbulent flow conditions. Water was considered as working fluid. The Reynolds number (Re), fin height (H f ), fin width (W f ), the number of micro-fins in each mini-channel (N), and the distance between the successive fins (S1) were selected as design and flow parameters and the Nusselt number (Nu) and the Poiseuille number (Po) were selected as objective functions. A Genetic Algorithm based MOO study was conducted using the correlations available in the literature aiming to find the optimum values of design and flow parameters that maximize Nu and minimize Po. Then, the VIsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method was employed to help designers to select an optimum design among the Pareto optimal solution set which is the output of MOO. Finally, the optimization results obtained were compared with those obtained by the 1st Law of Thermodynamics based Performance Evaluation Criteria (PEC). The advantages and disadvantages of these methods were discussed in detail. It is revealed that the integrated approach is a more comprehensive and flexible approach that also covers the results of PEC.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mini-channel heat exchanger optimization using genetic algorithm and multiple-criteria decision making

Subasi

2022

Journal of Thermal Engineering

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“…Very high heat fluxes can be removed easily using a micro/minichannel heat sink installation. 1,2 Thus, for optimal performance of a miniature component, its thermal management is necessary and methods for heat transfer improvement classified mainly as active, passive and hybrid techniques. [3][4][5][6] External energy (mechanical, surface vibration and electrostatic fields) comes under active techniques.…”

Section: Introductionmentioning

confidence: 99%

“…Energy systems such as motors, microelectronic applications, batteries, micro reactors, etc., required an effective cooling system due to miniaturisation. Very high heat fluxes can be removed easily using a micro/minichannel heat sink installation 1,2 . Thus, for optimal performance of a miniature component, its thermal management is necessary and methods for heat transfer improvement classified mainly as active, passive and hybrid techniques 3‐6 .…”

Section: Introductionmentioning

confidence: 99%

Thermal and thermo‐hydraulic behaviour of alumina‐graphene hybrid nanofluid in minichannel heat sink: An experimental study

Kumar

Singh

Kumar

et al. 2021

Intl J of Energy Research

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Summary Thermal and pressure drop aspects of a minichannel heat sink have been investigated experimentally using distilled water as base fluid with alumina, graphene and alumina‐graphene hybrid composition at 0.01% volume concentration. The reasons to select alumina‐graphene as a potential nanomaterials combination for hybrid nanofluids are as: (i) thermal conductivity enhancement and (ii) to investigate the effect of morphology (shape and size of nanoparticles). Alumina (Al2O3) is oxide and has spherical shape whereas graphene is allotrope of carbon and has platelet shape. To examine the effect of different nanoparticles (in terms of shape, size and properties) dispersed hybrid nanofluid on hydrothermal bahaviour is an interesting study. Effects of Reynolds number (80‐450), flow rate (0.1‐0.5 L/min) and fluid inlet temperature (20‐40°C) are studied. The effects of uniform heat flux of 50 and 66.7 W/cm2 on hydrothermal behaviour of a minichannel are also examined. The increment in convective heat transfer coefficient (HTC) is 30.93% at 30°C with graphene/water composition nanofluid than water base fluid. A penalty of 23.82% has been observed in pressure drop with graphene/water nanofluid over base fluid. As inlet temperature increases, Nusselt number (Nu) increases while adverse effect is found in case of friction factor. Performance evaluation criteria (PEC) has been observed more than 1 for all nanofluids and hybrid nanofluids, which ensured that nanofluids act as a better electronic cooling agent than water. Al2O3 + graphene hybrid nanofluid delivers optimum comparison factor (HTC to pressure drop ratio) and lower entropy generation rate among used working fluids. Graphene/water nanofluid yields less comparison factor compared to other working fluids irrespective of high HTC. h/Δp is favourable for nanofluid of unlike particles of hybrid composition (in terms of particle size, properties and shape) as compared to mono nanofluid and hybrid nanofluid having similar particles.

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“…They used water as a working fluid and reported dramatic heat absorption while the temperature of the hot surface was kept at 71 °C. Vajravel et al [9] investigated the heat transfer enhancement in a minichannel heat sink using water as a coolant. The Reynolds number was kept in the range of 175 to 553.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of heat transfer and pressure drop in a minichannel heat sink using Al2O3 and TiO2–water nanofluids

Moghanlou

Noorzadeh

Ataei

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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Nanofluids are known as a new generation of coolants. These fluids have attracted more attention in cooling applications, like electrical, optical, and solar systems recently, because of their unique rheological and thermal properties. In the present study, to evaluate the thermal behavior of the nanofluids, Al 2 O 3 and TiO 2 nanoparticles with the size of 20 nm were completely dispersed in distilled water and circulated in a minichannel heat sink. The heat sink consists of 10 minichannels that have designed to cool thermoelectric generators. The results showed that by only dispersion of 0.5 vol% Al 2 O 3 nanoparticles a 9.30% heat transfer enhancement observed. It was also obtained that the TiO 2-water sample showed a 4.56% heat transfer enhancement. The highest efficiency was obtained by utilizing the Al 2 O 3-water nanofluid. This was attributed to the higher thermal conductivity of Al 2 O 3 compared to TiO 2. Using both nanofluids resulted in higher pressure drop compared to the based fluid. At the Reynolds number of 1000, the pressure drop for Al 2 O 3 and TiO 2 nanofluids increased as 3.33% and 3.88%, respectively. The increased pressure drop was attributed to higher density and viscosity of nanofluids. The classical theories are not available to justify the remarkable heat transfer enhancement obtained by adding a negligible amount of mentioned nanoparticles. It seems that new mechanisms such as the random motion of nanoparticles and generated microconvections by nanoparticle motion in the base fluid are responsible for considerable heat transfer enhancement.

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Experimental investigations on heat transfer in a new minichannel heat sink

Cited by 31 publications

References 30 publications

Mini-channel heat exchanger optimization using genetic algorithm and multiple-criteria decision making

Mini-channel heat exchanger optimization using genetic algorithm and multiple-criteria decision making

Thermal and thermo‐hydraulic behaviour of alumina‐graphene hybrid nanofluid in minichannel heat sink: An experimental study

Experimental investigation of heat transfer and pressure drop in a minichannel heat sink using Al2O3 and TiO2–water nanofluids

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