A Critical Review on Geometric Improvements for Heat Transfer Augmentation of Microchannels
Abstract
:1. Introduction
2. Fundamentals of Optimizing Geometry Technology for Microchannel Heat Transfer
2.1. Classification of Optimizing Geometry Technology
2.2. The Mechanism of Optimizing Geometry Technology for Microchannel Heat Transfer
- The increase of heat transfer surface area. Optimizing the geometric structure can increase a larger surface area to volume ratio. The application of optimized geometric techniques, such as a smaller section size [26], complex section shapes [27], wall ribs [28,29,30], cavities [31], and pin fins [32] can effectively improve the heat transfer surface area.
- The redevelopment of the thermal boundary layer. The conventional straight channel fully develops the thermal boundary layer along with the flow direction. The hot fluid accumulates at the edge of the channel. The heat exchange between the mainstream cold fluid and the wall is limited. The optimized geometry technology interrupts and re-develops the developed thermal boundary layer through ribs [33], pin fins [34], and microstructures [35] to promote the mixing of hot and cold fluids.
- Secondary flow and chaotic mixing [36]. The optimized geometry technology generates secondary flow and fluid mixing locally in the microchannel. This accelerates the fluid flow, enhances the turbulence, reduces laminar stagnation zones, and increases the disturbance to the central mainstream cold fluid.
- Enhanced boiling heat transfer [37]. For the flow-boiling heat transfer, the optimized geometry technology is very important for the control and guidance of bubble behavior, increasing bubble nucleation, controlling the frequency of bubble detachment, and forming a suitable thin liquid film, which is beneficial to heat transfer augmentation.
- The field synergy principle [38]. The optimized geometry technology can improve the synergistic relationship between the fluid velocity field and the temperature gradient field to enhance the overall heat or mass transfer capacity.
3. Cross-Sectional Geometry Optimization
3.1. Sizes of Cross-Sectional Geometry
3.1.1. Hydraulic Diameter
3.1.2. Aspect Ratio
3.2. Cross-Section Shapes
4. Wall Geometry Optimization
4.1. Wave, Rib, and Cavity on Sidewall
Reference | Type of Wall Geometry Optimizations | Research Method/ Fluid/ Flow Pattern | Heat Transfer/ Flow Resistance/ Mechanism |
---|---|---|---|
Lin et al. [33] | Wave on sidewall | Simulation/ Water/ Single-phase flow | ΔT, Nu/-/ Enhanced chaotic mixing and convection, and increased heat transfer surface area |
Mohammed et al. [66] | Wave on sidewall | Simulation/ Water/ Single-phase flow | h/ΔP/ Enhanced chaotic mixing and convection, and increased heat transfer surface area |
Xu et al. [71] | Cavity on bottom wall | Simulation/ Water/ Single-phase flow | Nu15%/ΔP2%/ Enhanced chaotic mixing and convection, and increased heat transfer surface area |
Chai et al. [28] | Rib on sidewall | Simulation/ Water/ Single-phase flow | Nu42~95%/ΔP/ Enhanced chaotic mixing and convection, and increased heat transfer surface area |
Kumar et al. [31] | Cavity on top wall and bottom wall | Simulation and experiment/Water/Single-phase flow | Nu/ΔP/Enhanced convection, and increased heat transfer surface area |
Chai et al. [75] | Cavity on sidewall | Simulation/ Water/ Single-phase flow | Nu/ΔP/ Enhanced convection, redeveloped boundary layer, and increased heat transfer surface area |
Li et al. [76] | Cavity on sidewall | Experiment/ Acetone/ Flow boiling | h155~988%/ ΔP12.8~50.3%/ Enhanced convection, and increased heat transfer surface area |
Chai et al. [77] | Cavity on sidewall | Simulation and experiment/ Water/ Single-phase flow | h12.5~80.4%, Nu180%/ΔP/ Enhanced convection, and increased heat transfer surface area |
Xia et al. [78] | Rib and cavity on sidewall | Simulation/ Water/ Single-phase flow | Nu167%/- /Enhanced chaotic mixing and convection, and increased heat transfer surface area |
Deng et al. [79] | Fin on bottom wall | Experiment/ Water and ethanol/ Flow boiling | h10~175%/- /Enhanced chaotic mixing and convection, and redeveloped boundary layer |
Xie et al. [35] | Micro- structures on bottom wall | Simulation/ Water/ Single-phase flow | h40~80%, R41.02%/ ΔP/Enhanced convection, redeveloped boundary layer, and increased heat transfer surface area |
Rajalingam et al. [80] | Micro- structures on bottom wall | Simulation/ Water/ Single-phase flow | h161~170%/ΔP /Enhanced chaotic mixing and convection, and redeveloped boundary layer |
Ahmadian-Elmi et al. [81] | Fin on bottom wall | Simulation/ Air/ Single-phase flow | h/ΔP /Enhanced chaotic mixing and convection, and redeveloped boundary layer |
Zeng et al. [82] | Fin on bottom wall | Simulation and experiment/ Water/ Single-phase flow | Nu56~260%/ ΔP9~27%/ Enhanced chaotic mixing and convection, and redeveloped boundary layer |
4.2. Fin and Microstructures on Bottom Wall
4.3. Open, Interruption, and Secondary Channels
Reference | Type of Wall Geometry Optimizations | Research Method/ Flow Pattern | Heat Transfer/ Pressure/ Mechanism |
---|---|---|---|
Xia et al. [89] | Open channels | Experiment/ Acetone/ Flow boiling | h36.2%/-/ Increased the number of nucleate sites to enhance flow boiling |
Yin et al. [90] | Open channels | Experiment/ Water/ Flow boiling | h/-/ Increasing area for expanding bubble and increased the number of nucleate sites to enhance flow boiling |
Balasubramanian et al. [92] | Open channels | Experiment/ Water/ Flow boiling | CHF, h/ΔP/ Increasing area for expanding bubble to enhance flow boiling |
Bhandari et al. [93] | Open channels | Simulation/ Water/ Single-phase flow | Nu/ΔP/ Increasing area for expanding bubble to enhance flow boiling |
Xu et al. [94] | Interruption channels | Simulation and experiment/ Water/ Single-phase flow | Nu/ΔP/ Enhanced chaotic mixing and convection, and redeveloped boundary layer |
Chai et al. [95] | Interruption channels | Simulation and experiment/ Water/ Single-phase flow | Nu18~60%/-/ Enhanced chaotic mixing, and redeveloped boundary layer |
Prajapati et al. [96] | Secondary channels | Experiment/water/ Flow boiling | -/ΔP/ Secondary flow and enhanced flow boiling |
Law et al. [37] | Secondary channels | Experiment/ FC-72/ Flow boiling | h120~620%, CHF250~280%/ΔP/ Secondary flow and enhanced flow boiling |
Shi et al. [36] | Secondary channels | Simulation/ Water/ Single-phase flow | R29.2%/ΔP26.4%/ Enhanced chaotic mixing, secondary flow, and redeveloped boundary layer |
Ghani et al. [97] | Secondary channels | Simulation/ Water/ Single-phase flow | Nu/ΔP50%/ Enhanced chaotic mixing, secondary flow, and redeveloped boundary layer |
Law et al. [99] | Secondary channels | Simulation and experiment/FC-72/ Flow boiling | h/ΔP/ Enhanced chaotic mixing, secondary flow, and redeveloped boundary layer |
5. Complex Geometry Optimization
5.1. Fractal Geometry, Bionic Structures, and Topology Optimization
Reference | Type of Wall Geometry Optimizations | Research Method/ Fluid/ Flow Pattern | Heat Transfer/ Flow Resistance/ Mechanism |
---|---|---|---|
Wang et al. [103] | Fractal geometry | Simulation/Water/ Single-phase flow | -/ΔP/ Enhanced chaotic mixing and convection, and increased heat transfer surface area |
Lu et al. [104] | Fractal geometry | Simulation/Water/ Single-phase flow | Tmax28.8%, Tave13.5%/- /Enhanced chaotic mixing and convection, and increased heat transfer surface area |
Wang et al. [105] | Fractal geometry | Simulation/Water/ Single-phase flow | h/ΔP/Enhanced chaotic mixing and convection, and increased heat transfer surface area |
Rubio-Jimenez et al. [106] | Fractal geometry | Simulation/Water/ Single-phase flow | R/ΔP/Enhanced chaotic mixing and convection, and increased heat transfer surface area |
Zhang et al. [107] | Fractal geometry | Simulation and experiment/Water/ Single-phase flow | Nu/ΔP/ Enhanced chaotic mixing and convection, and increased heat transfer surface area |
Hong et al. [108] | Fractal geometry | Simulation/Water/ Single-phase flow | R/ΔP/ Enhanced chaotic mixing and convection, and increased heat transfer surface area |
Prasenjit et al. [110] | Bionic structures | Simulation and experiment/Water/ Single-phase flow | Nu14%/ ΔP/ Enhanced chaotic mixing and convection, and increased heat transfer surface area |
Dong et al. [112] | Bionic structures | Experiment/Water/ Single-phase flow | -/ΔP/ Enhanced chaotic mixing and convection |
Zhang et al. [113] | Bionic structures | Simulation/S-CO2/ Single-phase flow | Nu/ΔP45.83%/ Enhanced chaotic mixing and convection |
Tan et al. [114] | Topology optimization | Simulation/Water/ Single-phase flow | ΔT9.9℃/-/ Enhanced chaotic mixing and convection, and redeveloped boundary layer |
Han et al. [115] | Topology optimization | Simulation/Water/ Single-phase flow | ΔT57.35%/ΔP/ Enhanced chaotic mixing and convection, and redeveloped thermal boundary layer |
Pejman et al. [116] | Topology optimization | Simulation and experiment/Water and ethylene glycol/ Single-phase flow | Tmax/ΔP/Enhanced chaotic mixing and convection, and redeveloped thermal boundary layer |
5.2. Double-Layer Microchannel
5.3. Manifold Microchannel
5.4. Other Complex Microchannel
Reference | Type of Wall Geometry Optimizations | Research Method/ Fluid/ Flow Pattern | Heat Transfer/ Flow Resistance/ Mechanism |
---|---|---|---|
Radwan et al. [117] | Double-layer microchannel | Experiment/Ethanol and Novec-7000/ Flow boiling | ΔT/-/ Enhanced chaotic mixing and convection |
Wong et al. [118] | Double-layer microchannel | Simulation/Water/ Single-phase flow | R/ΔP/ Enhanced convection |
Elbadawy et al. [119] | Double-layer microchannel | Simulation/Water/ Single-phase flow | h13.12%/ΔP10%/ Enhanced chaotic mixing and convection |
Hung et al. [121] | Double-layer microchannel | Simulation/Water/ Single-phase flow | R/ΔP/ Enhanced convection |
Hung et al. [122] | Double-layer microchannel | Simulation/Water/ Single-phase flow | R52.8% |
Debbarma et al. [124] | Double-layer microchannel | Simulation/Water/ Single-phase flow | Nu/ΔP/ Provide a larger flow area |
Srivastava et al. [125] | Double-layer microchannel | Simulation/Water/ Single-phase flow | ΔT40%, R28%, Nu/ ΔP/Enhanced chaotic mixing and convection |
Leng et al. [126] | Double-layer microchannel | Simulation/Water/ Single-phase flow | R/ΔP/ Provide a larger flow area |
Shen et al. [127] | Double-layer microchannel | Simulation/Water/ Single-phase flow | Nu, ΔT/ΔP/ Enhanced chaotic mixing and convection |
Li et al. [128] | Double-layer microchannel | Simulation/Water/ Single-phase flow | ΔT58.04%, R14.98%/-/ Enhanced convection |
Zhai et al. [129] | Double-layer microchannel | Simulation/Water/ Single-phase flow | ΔT/ΔP Provide a larger flow area |
Erp et al. [130] | Manifold microchannel | Experiment/Water/ Single-phase flow | h, Nu/-/ Enhanced chaotic mixing and convection, secondary flow, increased heat transfer area, and redeveloped boundary layer |
Drummond et al. [131] | Manifold microchannel | Experiment/ HFE-7100/ Flow boiling | h/-/Increasing area for expanding bubble, increasing the number of nucleate sites to enhance flow boiling |
Drummond et al. [133] | Manifold microchannel | Experiment/ HFE-7100/ Flow boiling | h, R/-/ Increasing area for expanding bubble, increasing the number of nucleate sites to enhance flow boiling |
Luo et al. [134] | Manifold microchannel | Simulation/ HFE-7100/ Flow boiling | R/ΔP Secondary flow, increased heat transfer area, and enhanced flow boiling |
Luo et al. [135] | Manifold microchannel | Simulation/ HFE-7100/ Flow boiling | ΔT/ΔP/ Increasing area for expanding bubble and the number of nucleate sites to enhance flow boiling |
Yang et al. [137] | Manifold microchannel | Simulation/Water/ Single-phase flow | R19.15%/ΔP1.91%/ Increasing area for expanding bubble, increasing the number of nucleate sites to enhance flow boiling |
Ozguc et al. [139] | Other complex microchannel | Simulation/ Water, ethylene/ Single-phase flow | Thermal resistance/ΔP Secondary flow, increased heat transfer area, and redeveloped boundary layer |
Yan et al. [140] | Other complex microchannel | Experiment/ Air/ Single-phase flow | Nu77%/-/ Increased heat transfer area and redeveloped boundary layer |
Wong et al. [27] | Other complex microchannel | Experiment/ FC-72/ Flow boiling | h281%, CHF/-/ Increasing area for expanding bubble, increasing the number of nucleate sites to enhance flow boiling |
Collins et al. [141] | Other complex microchannel | Experiment/ Water/ Single-phase flow | R17%/ΔP50%/ Enhanced chaotic mixing and convection, secondary flow, increased heat transfer area, and redeveloped boundary layer |
6. Conclusions and Future Works
- The size of the cross section of the microchannel has a profound effect on the flow and heat transfer in the microchannel. Small hydraulic diameter and a narrow and deep aspect ratio usually have better thermal performance for the single-phase flow. However, for flow boiling, the influence of geometry is complex, and bubble behavior and liquid film diffusion are the keys to heat transfer. The restrictive effect of small channels on bubble behavior may lead to greater flow resistance and deterioration of heat transfer. In addition, the cross-sectional area determines the heat transfer mechanism of flow boiling. The area decreases, and the heat transfer increases. The microchannel with the rectangular cross-section aspect ratio of one has a better heat transfer effect. However, the impact of the aspect ratio on microchannel pressure drop is not clear.
- The research on the cross-sectional shape of the microchannel generally includes the comparative study of different cross-sectional shapes and the size optimization of a certain cross-sectional shape. However, there is still a lack of comparative studies on the hydraulic and thermal properties of microchannels of different shapes after size optimization. In addition, the influence of cross-sectional geometry on microchannels is very complex which depends on its operating parameters. This indicates that it is necessary to further study the relationship between geometry and other influencing factors (such as mass flux and heat flux) to achieve the best heat transfer performance.
- The wavy microchannel and the channel geometry modification by adding ribs, cavities, pin fins, and bifurcations on the wall are introduced. These geometric modifications mainly improve the heat transfer in the straight microchannels from two aspects. On the one hand, these geometric modifications have increased the heat transfer surface area inside the microchannel. On the other hand, it can increase fluid disturbance, generate secondary flow, and promote the reconstruction of the thermal boundary layer. However, these geometric modifications increased or did not reduce the pressure drop in the channel to a certain extent compared to straight channels. The same geometric modification still needs optimization to balance pressure drop and heat transfer to meet engineering requirements.
- The open microchannel changes the flow pattern of the working fluid in the single-layer microchannel so that the working fluid has a broader flow space. Studies have shown that the open form can reduce flow resistance of the microchannel with appropriate geometric optimization. The secondary channel not only retains the advantages of the interrupted channel, the ribs, and the cavity to enhance heat transfer. It also promotes the flow between the channels to reduce the pressure drop. In addition, the geometry of the secondary channel also suppresses the instability of flow boiling. However, the new structure’s design means more adjustment and optimization of geometric parameters, such as the distribution, shape, size, and angle of the fins, etc.
- Fractal geometry and bionic structures is a structure optimized by nature. As long-term evolution, the structure has the best performance in heat and mass transfer. This natural structure is applied to a microchannel heat sink to enhance heat transfer and reduce pressure drop. However, most existing structures in nature are not compatible with microchannel heat sinks. Topology optimization can further improve the adaptability of fractal geometry and bionic structures in microchannel industrial applications.
- The design of the double-layer microchannel adjusts the flow direction of the working fluid in each microchannel layer so that the temperature gradient inside the microchannel is significantly reduced. This alleviates the problem of uneven temperature distribution in the flow field.
- The manifold structure divides the microchannel into many parallel microchannel units, which shortens the flow length of the working fluid and reduces the pressure drop. At the same time, the thermal boundary layer is difficult to develop in the microchannel, which is beneficial to increase the heat transfer coefficient and reduce the total thermal resistance. Furthermore, the temperature distribution of the manifold microchannel heat sink is more uniform.
- With the development of additive manufacturing technology, more complex microstructure microchannels can be fabricated. The manufacturing technology combines the abovementioned multiple geometric optimizations to specifically solve special industrial problems, such as non-uniform heating conditions of local hot spots.
- There are many types of microchannel geometric modification, but simple geometric modification such as hydraulic diameter, cross-sectional shape, and other single geometric factors are rarely studied to ensure that other geometric factors remain constant. In recent years, this kind of weak research on the influence of basic geometric factors has received increasing attention. Many researchers have made a combination of various geometric modifications and have shown their comprehensive advantages. If the influential characteristics of a single geometric factor are clearly studied, the difficulty of combining multiple geometric modifications will be reduced.
- Secondary channels with pin fins, fractal geometry, and bionic structures, manifold microchannels have unique advantages in enhancing heat transfer. However, there are still more geometric parameters that need to be optimized to reduce the thermal resistance and pressure drop.
- The topology optimization method is effective in adjusting the parameters of the flow channel geometric structure in the microchannel. However, the research of topology optimization on the flow and heat transfer of microchannels is basically limited to single-phase flow. Flow-boiling heat transfer has broader prospects and is more complex than single-phase flow. Therefore, more topology optimization work needs to be conducted for flow boiling.
- Due to the complexity of flow-boiling heat transfer, the influence of microchannel geometry on bubbles or flow patterns should be further studied. Since different flow patterns correspond to different heat transfer mechanisms, appropriate geometry should be selected according to different flow patterns to optimize heat transfer technology.
- The geometric characteristics of microchannels are not a single factor affecting flow and heat transfer. Comprehensive consideration of the coordinated working conditions of geometry, mass flux, heat flux, working fluid, and other factors help to achieve the optimal performance of the microchannel. In addition, nanofluids, phase change materials, and other passive cooling methods combined with geometric optimization research can further improve the performance of microchannel heat sinks.
- In recent years, with the continuous advancement of processing technology, such as additive manufacturing technology, microchannels with complex geometries have become possible, and more complex microstructure microchannel experimental research should be carried out. New interesting microstructures and heat transfer mechanisms deserve to be developed. Furthermore, in practical applications, not only the thermal resistance of the microchannel heat sinks is considered, but the thermal resistance between the heat source and the microchannel heat sink is also the key to enhancing heat transfer. Therefore, collaborative design of microdevices and cooling is necessary. The embedded cooling structure may provide a broader idea for the geometric optimization of the microchannel heat sinks overall heat transfer performance.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Nomenclature
microchannel hydraulic diameter, m | |
thermal conductivity, W/(m·K) | |
the Nusselt number | |
heat transfer coefficient, W/(m2·K) | |
temperature, °C | |
pressure drop, Pa | |
thermal resistance, (K/W) |
Abbreviations
AR | aspect ratio |
CHF | critical heat flux |
MCHS | microchannel heat sink |
TEC | thermoelectric cooler |
VLSI | very-large-scale integrated |
Subscripts
average | |
maximum |
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Reference | Channel Size (Hydraulic Diameter/ Aspect Ratio) | Fluid/ Variable Parameter/ Heat Flux | Research Method/ Flow Pattern/ Remarks |
---|---|---|---|
Lee et al. [41] | 318~903 μm/aspect ratio: 4.56~5.45 | Deionized water/ Reynolds number: 300~3500/ - | Experiment/ Single-phase flow/ The heat transfer coefficient increases as the size decreases. |
Markal et al. [26] | 100~250 μm/ aspect ratio: 1 | Deionized water/ Mass flux: 51~93 kg m−2s−1/ 35.9~105.6 kW/m2 | Experiment/ Flow boiling/ The influence of hydraulic diameter on heat transfer performance is complicated. |
Sadaghiani et al. [43] | 600~900 μm/ Round tube | Deionized water/ Mass flux: 2600~8000 kg m−2s−1/ 3000~6000 kW/m2 | Experiment/ Flow boiling/ The relationship between the heat transfer and the hydraulic diameter is affected by the flow conditions. |
Yang et al. [44] | 480~790 μm/aspect ratio: 0.25~0.95 | HFE-7100/ Mass flux: 200~400 kg m−2s−1/ 25~37.5 kW/m2 | Experiment/ Flow boiling/ The heat transfer is related to the corresponding two-phase flow patterns under different sizes. |
Reference | Channel Size (Hydraulic Diameter/ Aspect Ratio) | Fluid/ Variable Parameter/ Heat Flux | Research Method/ Flow Pattern/ Remarks |
---|---|---|---|
Naphon et al. [47] | -/ aspect ratio: 3.33~7.50 | Air/ Reynolds number: 200 to 1000/ Heat flux: 1.8 to 5.4 kW m−2 | Experiment/ Single-phase flow/ Microchannels with large aspect ratio have good thermal performance. |
Xie et al. [48] | 800~1412 μm/ aspect ratio: 4.00~7.50 | Deionized water/ Inlet velocity: 0.1–1.5 m/s/ Heat flux: 1.8 to 2560 kW m−2 | Experiment/ Single-phase flow/ The narrow and deep microchannel has a higher heat transfer coefficient with a higher pressure drop. |
Wang et al. [49] | 571~1454 μm/aspect ratio: 10~20 | FC-72/ Mass flux: 11.2–44.8 kg m−2s−1/ Heat flux: 0 to 18.6 kW m−2 | Experiment/ Flow boiling/ The critical heat flux (CHF) increases as the hydraulic diameter increases. However, the heat transfer performance deteriorates. |
Lee and Mudawar [50,51] | 175.7~415.9 μm/aspect ratio: 2.47~4.01 | HFE-7100/ Mass flux: 670–6730 kg m−2s−1/ Heat flux: 0 to 7500 kW m−2 | Experiment/ Flow boiling/ The aspect ratio affects the heat transfer by affecting the transition of the two-phase flow pattern. |
Harirchian et al. [52,53] | 96 to 707 μm/aspect ratio: 1.05~15.55 | FC-77/ Mass flux: 250–1600 kg m−2s−1/ Heat flux: 0 to 280 kW m−2 | Experiment/ Flow boiling/ The cross-sectional area of the microchannel determines the boiling mechanism and heat transfer. |
Markal et al. [54] | 100 μm/ aspect ratio: 0.37~5.00 | FC-72/ Mass flux: 11.2–44.8 kg m−2s−1/ Heat flux: 0 to 18.6 kW m−2 | Experiment/ Flow boiling/ When the aspect ratio is 3.54, the heat transfer coefficient reaches its peak in flow boiling. |
Fu et al. [55] | about 112 μm/aspect ratio: 0.83~6.06 | HFE-7100/ Mass flux: 39–180 kg m−2s−1/ Heat flux: 100 to 1140 kW/m−2 | Experiment/ Flow boiling/ When the aspect ratio is 0.99, the critical heat flux (CHF)reaches its peak in flow boiling. |
Markal et al. [56] | 112 μm/aspect ratio: 0.25~4.00 | Deionized water/ Mass flux: 70–310 kg m−2s−1/ Heat flux: 108 to 296 kW/m−2 | Experiment/ Flow boiling/ The aspect ratio is 1 shows the best heat transfer coefficient. |
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Yu, H.; Li, T.; Zeng, X.; He, T.; Mao, N. A Critical Review on Geometric Improvements for Heat Transfer Augmentation of Microchannels. Energies 2022, 15, 9474. https://doi.org/10.3390/en15249474
Yu H, Li T, Zeng X, He T, Mao N. A Critical Review on Geometric Improvements for Heat Transfer Augmentation of Microchannels. Energies. 2022; 15(24):9474. https://doi.org/10.3390/en15249474
Chicago/Turabian StyleYu, Hao, Tongling Li, Xiaoxin Zeng, Tianbiao He, and Ning Mao. 2022. "A Critical Review on Geometric Improvements for Heat Transfer Augmentation of Microchannels" Energies 15, no. 24: 9474. https://doi.org/10.3390/en15249474
APA StyleYu, H., Li, T., Zeng, X., He, T., & Mao, N. (2022). A Critical Review on Geometric Improvements for Heat Transfer Augmentation of Microchannels. Energies, 15(24), 9474. https://doi.org/10.3390/en15249474