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Investigation of heat transfer characteristics has been carried out by theoretically and experimentally for a straight microchannel heat sink of rectangular cross section of 507µm hydraulic diameter with water as the circulating fluid. The temperature distribution, pressure drop, heat transfer coefficient and total thermal resistance of the heat sink are selected as criteria for their cooling performance. Parameters that changes in this study are Reynolds number in ranges from 200 to 700. The theoretical results for heat transfer coefficient and thermal resistance are compared with the experimental results. The obtained theoretical results are having the good agreement with experimental results. It is found that the temperature of water in the microchannels increases with channel length. The present work proposes an approach to improve the heat transfer enhancement of microchannel heat sinks
Investigation of heat transfer characteristics has been carried out by theoretically and experimentally for a straight microchannel heat sink of rectangular cross section of 507µm hydraulic diameter with water as the circulating fluid. The temperature distribution, pressure drop, heat transfer coefficient and total thermal resistance of the heat sink are selected as criteria for their cooling performance. Parameters that changes in this study are Reynolds number in ranges from 200 to 700. The theoretical results for heat transfer coefficient and thermal resistance are compared with the experimental results. The obtained theoretical results are having the good agreement with experimental results. It is found that the temperature of water in the microchannels increases with channel length. The present work proposes an approach to improve the heat transfer enhancement of microchannel heat sinks
The article contains sections titled: 1. Reaction Engineering Potential–Transport Intensification 2. Reaction Engineering Potential—Chemical Intensification (Novel Process Windows) 2.1. Chemical Applicability 2.2. Chemical Intensification through Harsh Conditions: Novel Process Windows 2.3. Chemical Intensification through Highly Reactive Intermediates: Flash Chemistry 3. Process‐Design Intensification (Novel Process Windows) 4. Micromixers 4.1. Mixing Principles 4.2. Active and Passive Micromixers 4.3. Diffusion‐Based Micromixers 4.3.1. Y‐ and T‐Type Lamination Mixing 4.3.2. Hydrodynamic and Geometric Focusing for Lamellae Flows 4.3.3. Multilaminating Mixing 4.3.4. Cyclone Mixing 4.4. Split‐and‐Recombine Micromixers 4.4.1. Recycle‐Flow Coanda‐Effect Micromixer 4.4.2. Barrier‐Embedded Micromixer 4.4.3. Caterpillar Micromixer 4.5. Chaotic Advection Micromixers 4.5.1. Herringbone Groove Micromixer 4.5.2. Bended Micromixer 4.6. Turbulent Micromixers—Jet Mixing 4.7. Design and Fabrication of Micromixers 4.7.1. Microfabrication 4.7.2. Modeling 4.7.3. Micromixer Design Development and Related New Microfluidic Principles 4.8. Mixing Characterization 4.8.1. Analytical Techniques 4.8.2. Hydrodynamics and Mixing 4.8.3. Residence Time Distribution 4.9. Applications of Micromixer Technologies 4.9.1. Polymerization 4.9.2. Organic and Bioorganic Reactions 4.9.3. Particle Generation 4.9.4. Droplet Generation, Encapsulation, and Polymer Particle Production 4.9.5. Scale‐out and Fluid Distribution 5. Micro Heat Exchangers 5.1. Heat Exchange Fundamentals 5.2. Classification of Micro Heat Exchangers 5.2.1. Cross‐Flow Heat Exchanger 5.2.2. Counterflow Heat Exchanger 5.2.3. Electrically Powered Heat Exchangers 5.2.4. Microwave Heat Exchanger 5.2.5. Heat‐Pipe Heat Exchanger 5.3. Heat‐Transfer Characterization and Enhancement 5.4. Fouling of Micro Heat Exchangers 5.5. Scale‐out of Micro Heat Exchangers 6. Microevaporators 7. Flow Separation 7.1. State of the Art in Flow Separation 7.2. Micro Extractors 7.3. Micro Distillators/Rectificators 7.4. Micro Chromatography Devices 7.5. Micro Membrane Devices 7.6. Integrated Reaction–Separation Devices
The bulk uncertainty in the gridded sea surface pCO 2 data is crucial in assessing the reliability of the CO 2 flux estimated from measurements of air-sea pCO 2 difference, because atmospheric pCO 2 are relatively homogeneous and well defined. The bulk uncertainty results from three different sources: analytical error (E m ), spatial variance (r 2 s ), and the bias from undersampling (r 2 u ). Common uncertainty quantification by standard deviation may mix up the different sources of uncertainty. We have established a simple procedure to determine these three sources of uncertainty using remote sensing-derived and field-measured pCO 2 data. E m is constrained by the analytical method and data reduction procedures. r 2 s is derived from the remotely sensed pCO 2 field. r 2 u is determined by spatial variance and the effective number of observations, considering, for the first time, the geometric bias introduced by pCO 2 sampling. This approach is applied to 1 3 1 gridded pCO 2 data collected from the East China Sea. We demonstrate that the spatial distribution of these biases is uneven and that none of them follow the same spatial trend as the standard deviation. r 2 s contributes the most to the uncertainty in gridded pCO 2 data over those grid boxes with good sampling coverage, while r 2 u dominates the total uncertainty in the grid boxes with poor sampling coverage. Application of this procedure to other parts of the global ocean will help to better define the inherent spatial variability of the pCO 2 field and thus better interpolate and/or extrapolate pCO 2 data, and eventually better constrain air-sea CO 2 fluxes.
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