Heat Transfer Enhancement-a Brief Review of Literature in 2020 and Prospects

Guo, Zhixiong; Cheng, Lixin; Cao, Hongxiang; Zhang, Hang; Huang, Xu

doi:10.1615/heattransres.2021038770

Cited by 26 publications

(7 citation statements)

References 147 publications

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“…Efficient heat transfer is crucial in various industrial applications, such as food processing, refrigeration, electronics, power plants, and waste heat recovery [1][2][3][4][5][6][7]. Tubein-tube heat exchangers have many economic advantages compared to other configurations and are therefore widely used in industry.…”

Section: Introductionmentioning

confidence: 99%

CFD Modelling of Pressure Drop in Double-Pipe Heat Exchanger with Turbulators Using a Porous Media Model

Gendera¹,

Ludwig²

2023

IJHT

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A major limitation of Computational Fluid Dynamics application in modelling devices with complex configuration is generating a numerical mesh that can accurately recreate the fluid domain without exceeding available computational power. To simplify the geometry of the impossible to simulate traditionally Pall rings and brush turbulators, the porous media model was implemented. In this research, we simulated the pressure drop in the double-pipe heat exchanger filled with eleven turbulators of different kinds (including: Pall rings, spiral packing, stamped sheet, brush, spring, and twisted tape). The viscous and inertial coefficients of the porous media were calculated for each turbulator and implemented in the calculations. The results were compared with the collected experimental data, which demonstrated the satisfactory accuracy of this approach. It is concluded that the porous media model performs especially well for the brush and spiral packing turbulators.

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Section: Introductionmentioning

confidence: 99%

CFD Modelling of Pressure Drop in Double-Pipe Heat Exchanger with Turbulators Using a Porous Media Model

Gendera¹,

Ludwig²

2023

IJHT

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“…Heat transfer enhancement has been a leading topic of research and study in many engineering areas in the past five decades [1]. The related techniques are developed to improve the performance of heat transfer systems, to save energy, and to conserve limited natural resources.…”

Section: Introductionmentioning

confidence: 99%

Thermal Performance in Convection Flow of Nanofluids Using a Deep Convolutional Neural Network

et al. 2022

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This study develops a geometry adaptive, physical field predictor for the combined forced and natural convection flow of a nanofluid in horizontal single or double-inner cylinder annular pipes with various inner cylinder sizes and placements based on deep learning. The predictor is built with a convolutional-deconvolutional structure, where the input is the annulus cross-section geometry and the output is the temperature and the Nusselt number for the nanofluid-filled annulus. Profiting from the proven ability of dealing with pixel-like data, the convolutional neural network (CNN)-based predictor enables an accurate end-to-end mapping from the geometry input and the desired nanofluid physical field. Taking the computational fluid dynamics (CFD) calculation as the basis of our approach, the obtained results show that the average accuracy of the predicted temperature field and the coefficient of determination R2 are more than 99.9% and 0.998 accurate for single-inner cylinder nanofluid-filled annulus; while for the more complex case of double-inner cylinder, the results are still very close, higher than 99.8% and 0.99, respectively. Furthermore, the predictor takes only 0.038 s for each nanofluid field prediction, four orders of magnitude faster than the numerical simulation. The high accuracy and the fast speed estimation of the proposed predictor show the great potential of this approach to perform efficient inner cylinder configuration design and optimization for nanofluid-filled annulus.

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“…Enhancement of flow boiling heat transfer and CHF and stability of vapor liquid two phase flow in micro-channel evaporators are important to meet the high heat flux cooling requirements [17][18][19][20]. Over the past years, extensive studies have been conducted to enhance flow boiling performances in microchannels in terms of heat transfer coefficient, CHF and stabilization of twophase flows.…”

Section: Introductionmentioning

confidence: 99%

“…Over the past years, extensive studies have been conducted to enhance flow boiling performances in microchannels in terms of heat transfer coefficient, CHF and stabilization of twophase flows. Various heat transfer enhancement approaches including modifying surface properties, intensifying mixing or disturbance and enhancing nucleate boiling have been exploited to significantly increase flow boiling heat transfer performances and CHF in multi-microchannel evaporators [17,18]. Furthermore, enhanced microchannels with various surface structures have also attracted much attention to mitigate two-phase flow instabilities in flow boiling.…”

Section: Introductionmentioning

confidence: 99%

High Heat Flux Cooling Technologies Using Microchannel Evaporators: Fundamentals and Challenges

Cheng

2022

Heat Transfer Engineering

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Flow boiling in multi micro-channel evaporators is a promising approach to cooling high heat flux in many devices. Understanding of the fundamentals of flow boiling in multi microchannel evaporators is urgently needed. This paper presents a critical review on the research of flow boiling phenomena in microchannels. First, classifications of macro-and micro-channels are briefed. Then, studies on flow boiling in multi microchannels with plain surface are analyzed.Next, studies of flow boiling in multi microchannels with various enhanced technologies are analyzed. Finally, heat transfer mechanisms and development of prediction methods are discussed.According to the critical review and analysis of the current research on the fundamental issues and challenges of flow boiling in micro-channels, future research needs have been identified and recommended. In general, systematic and accurate experimental data of flow boiling in microchannels are needed by using advanced measurement technologies. In particular, optimal design of microchannel evaporators with plain surface and enhanced structures is lacking and should be investigated. The physical mechanisms of flow boiling should be further investigated based on the corresponding flow patterns. Furthermore, mechanistic prediction methods should be developed. Furthermore, systematic experimental, analytical and modelling studies on transient flow boiling phenomena in micro-channels should be conducted to understand the physical mechanisms and develop the theoretical models.

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Heat Transfer Enhancement-a Brief Review of Literature in 2020 and Prospects

Cited by 26 publications

References 147 publications

CFD Modelling of Pressure Drop in Double-Pipe Heat Exchanger with Turbulators Using a Porous Media Model

CFD Modelling of Pressure Drop in Double-Pipe Heat Exchanger with Turbulators Using a Porous Media Model

Thermal Performance in Convection Flow of Nanofluids Using a Deep Convolutional Neural Network

High Heat Flux Cooling Technologies Using Microchannel Evaporators: Fundamentals and Challenges

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