Experimental investigation of heat transfer in flat plates with rectangular microchannels

Peng, Xiaofeng; Wang, B.X.; Peterson, G. P.; Ma, Hongwen

doi:10.1016/0017-9310(94)00136-j

Cited by 186 publications

(59 citation statements)

References 2 publications

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“…(9). Thereafter, the domain and integrated variables q are spatially discretised ( e and Q) using Lagrange basis functions N k complete to the degree k.…”

Section: Methodsmentioning

confidence: 99%

“…Choi et al 8 have studied heat transfer in 3-81 µm long microtubes. Heat-transfer performance and cooling characteristics of subcooled liquid through 0.7-mm-deep microchannels have been measured by Peng et al 9 Adams et al 10 have tried to enhance heat transfer of forced liquid convection using dissolved noncondensables while Mala et al 11 investigated the effect of electric double layer in a flow between parallel plates.…”

Section: Introductionmentioning

confidence: 99%

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Hydrodynamic Study of High Speed Flow and Heat Transfer Through a Microchannel

Raju

Roy

2005

Journal of Thermophysics and Heat Transfer

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Fluid flow and heat-transfer characteristics in microchannels are investigated using a finite element based hydrodynamic model with first-order slip/jump boundary conditions. Helium and nitrogen are utilized as working fluid, and the Knudsen-number ranges from slip to transition regime. Results for high-speed compressible gas flow for two separate cases for a microchannel with rough surface and an aspect ratio of five have been compared with published direct-simulation Monte Carlo results. Despite some noticeable differences, the hydrodynamic model compares favorably in predicting the flow structure and heat-transfer characteristics for high-speed microflows. NomenclatureC p = specific heat at constant pressure H = height of the channel Kn = Knudsen number k = thermal conductivity L = length of the channel Ma = Mach number P = gas pressure Pr = Prandtl number R = reduced gas constant T = temperature t = time u = gas velocity in x direction v = gas velocity in y direction γ = specific heat ratio = reference length λ = mean free path of the fluid µ = coefficient of viscosity ρ = gas density σ T = thermal-momentum coefficient σ v = tangential-momentum coefficient Subscripts g = gas properties w = wall properties 0 = reference quantity

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“…(9). Thereafter, the domain and integrated variables q are spatially discretised ( e and Q) using Lagrange basis functions N k complete to the degree k.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hydrodynamic Study of High Speed Flow and Heat Transfer Through a Microchannel

Raju

Roy

2005

Journal of Thermophysics and Heat Transfer

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“…Despite the many potential benefits of microfluidics, the laminar flow that arises from the small dimensions and often simple geometries involved [30,31] means mixing and, hence, mass and heat transfer are poor [32,33]; for example: the mixing length, which is the distance that a liquid must travel to become fully intermixed, can be of the order of centimetres or even meters, much greater than is available in typical microfluidic configurations where miniaturization is clearly the desired end-point. One way of addressing the mixing challenge is to use a packed bed, also termed a micro-packed bed (µPB) [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Explicit numerical simulation-based study of the hydrodynamics of micro-packed beds

Kashani

Elekaei

Živković

et al. 2016

Chemical Engineering Science

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Knowledge of the hydrodynamic character of micro-packed beds (µPBs) is critical to understanding pumping power requirements and their performance in various applications, including those where heat and mass transfer are involved. The report here details use of smoothed particle hydrodynamics (SPH) based simulation of fluid flow on models of µPBs derived from X-ray microtomography to predict the hydrodynamic character of the beds as a function of the bed-to-particle diameter ratio over the range 5.2 ≤ ≤ 15.1 ⁄ . It is shown that the permeability of the µPBs decreases in a non-linear but monotonic manner with this ratio to a plateau beyond ⁄ ≈ 10 that corresponded to the value predicted by the Ergun equation. This permeability variation was best represented by the model of Reichelt (Chem.Ing. Technik, 44, 1068Technik, 44, , 1972 and also reasonably well-represented by that of Foumeny (Intnl. Transfer, 36, 536, 1993), both of which were developed using macroscale packed beds of varying bed-to-particle diameter ratios. Four other similarly determined correlations did not match well the permeability variation predicted by SPH. The flow field within the µPBs varied in an oscillatory manner with radial position (i.e. channelling occurred at multiple radial positions) due to a similar variation in the porosity. This suggests that use of performance models (e.g. for heat and mass transfer) derived for macroscale beds may not be suitable for µPBs. The SPH-based approach here may well form a suitable basis for predicting such behaviour, however. J. Heat Mass

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“…The comparison is made by computational method, the results obtain that Staggered shows better thermal performance than planar heat sinks. Wang and Peng [7] had investigated experimentally the single-phase forced convective heat transfer characteristics of water/methanol flowing through micro-channels with rectangular cross section of five different combinations, maximum and minimum channel size varying from (0.6 × 0.7 mm2) to (0.2 × 0.7 mm2). The results provide significant data and considerable insight into the behavior of the forced-flow convection in micro channels.…”

Section: Literature Reviewmentioning

confidence: 99%