Numerical study on flow and heat transfer in a multi-jet microchannel heat sink

Peng, Ming; Chen, Li; Ji, Wen-Tao; Tao, Wen‐Quan

doi:10.1016/j.ijheatmasstransfer.2020.119982

Cited by 43 publications

(9 citation statements)

References 35 publications

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“…Peng et al [12] employed a three dimensional CFD to simulate the flow and heat transfer process in the multijet microchannel (MJMC) heat sink with coolant flowing through alternative inlet and outlet jets in the direction normal to the heated surface. Compared with traditional microchannels, it was found that the MJMC combined the advantages of impinging jet flow and entrance effects of microchannel.…”

Section: Classical Computational Fluid Dynamics (Cfd)mentioning

confidence: 99%

Fluid flow and heat transfer in microchannel heat sinks: Modelling review and recent progress

Gao

Yang

et al. 2022

Thermal Science and Engineering Progress

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Section: Classical Computational Fluid Dynamics (Cfd)mentioning

confidence: 99%

Fluid flow and heat transfer in microchannel heat sinks: Modelling review and recent progress

Gao

Yang

et al. 2022

Thermal Science and Engineering Progress

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“…Meanwhile, electronic devices undergo increasingly severe heat dissipation problems, owing to the development of integrated and miniaturized technology [3]. For instance, the size of transistors in high-performance microprocessors has been reduced to 10~14 nm, and the heat flux can reach 100~300 W•cm -2 [4][5][6]. Generally, both the performance and service life of electronic devices decrease with an increase in the working temperature [7,8].…”

Section: Introductionmentioning

confidence: 99%

Microscopic Exploration of Liquid-liquid Phase Separation Mechanism in LCST Solutions

Ding¹,

Feng²,

Yuan³

et al. 2022

ES Energy Environ.

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A partially miscible solution with a lower critical solution temperature (LCST) is a potential coolant for microchannel heat sinks to meet the multi-goals of high cooling performance, low-pressure drop and stable operation. However, it is a great challenge to fundamentally understand the liquid-liquid phase separation mechanism, and to harvest benefits from it for evaluating the cooling performance and regulating the flow pattern of the LCST solutions in microchannels. Here, we observed and explained the liquid-liquid phase separation behaviors of 2-Butoxyethanol/water solutions with various mass fractions (ωp) and heating rates, consisting of spinodal decomposition or nucleation, droplet growth (diffusion-driven), and droplet coalescence (convectiondriven, stage Ⅰ and stage Ⅱ). The results proved that the separated molecular cluster is covered with a layer of water molecules, causing the mass fraction of 2-Butoxyethanol in the separated liquid to be 65.4% instead of 100%. To keep a mist or droplet flow pattern in microchannels, some efforts must be made to reduce the droplet diameter and suppress the droplet coalescence in stage Ⅱ. Although the solutions with better cooling performance have been determined at ωp=27.4%~35%, future works should focus on whether the liquid-liquid phase separation ends at the droplet growth stage or coalescence stage.

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“…Various computation-intensive studies have been performed in the past exploring the effect of fluid flow characteristics and the heat-transfer effects. The micro-cooling devices encompass the use of microchannels [2][3][4][5], porous materials [6], and microjets [7][8][9][10][11][12][13][14] with a promising future in all types of designs. However, each of them has its own set of challenges, from the design stage to the manufacturing stage.…”

Section: Introductionmentioning

confidence: 99%

“…The highest pressure drop in the circular shape is attributed to the strong vorticities formed perpendicular to the direction of flow. Peng et al [10] performed a comparative analysis between traditional microchannel heat sink (TMC) and multi-jet microchannel (MJMC) heat sink, using numerical techniques. They found that temperature uniformity improves significantly with the help of an increasing number of jets.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Microjet Location Using Surrogate Model Coupled with Particle Swarm Optimization Algorithm

Qidwai¹,

Badruddin

Khan

et al. 2021

Mathematics

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This study aimed to present the design methodology of microjet heat sinks with unequal jet spacing, using a machine learning technique which alleviates hot spots in heat sinks with non-uniform heat flux conditions. Latin hypercube sampling was used to obtain 30 design sample points on which three-dimensional Computational Fluid Dynamics (CFD) solutions were calculated, which were used to train the machine learning model. Radial Basis Neural Network (RBNN) was used as a surrogate model coupled with Particle Swarm Optimization (PSO) to obtain the optimized location of jets. The RBNN provides continuous space for searching the optimum values. At the predicted optimum values from the coupled model, the CFD solution was calculated for comparison. The percentage error for the target function was 0.56%, whereas for the accompanied function it was 1.3%. The coupled algorithm has variable inputs at user discretion, including gaussian spread, number of search particles, and number of iterations. The sensitivity of each variable was obtained. Analysis of Variance (ANOVA) was performed to investigate the effect of the input variable on thermal resistance. ANOVA results revealed that gaussian spread is the dominant variable affecting the thermal resistance.

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Numerical study on flow and heat transfer in a multi-jet microchannel heat sink

Cited by 43 publications

References 35 publications

Fluid flow and heat transfer in microchannel heat sinks: Modelling review and recent progress

Fluid flow and heat transfer in microchannel heat sinks: Modelling review and recent progress

Microscopic Exploration of Liquid-liquid Phase Separation Mechanism in LCST Solutions

Optimization of Microjet Location Using Surrogate Model Coupled with Particle Swarm Optimization Algorithm

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