Effect of Surface Roughness on Heat Transfer and Fluid Flow Characteristics at Low Reynolds Numbers in Small Diameter Tubes

Kandlikar, Satish G.; Joshi, Shailesh; Tian, Shurong

doi:10.1080/01457630304069

Cited by 224 publications

(151 citation statements)

References 5 publications

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“…Entrylength effects must therefore be considered in evaluating both heat transfer coefficients and pressure drop. Kandlikar et al [32] have recently shown the standard entry length correlations for the thermally developing region of a hydrodynamically fully developed flow to be within experimental error in tubes of 0.6 and 1 mm diameter.…”

Section: Single-phase Heat Transfer Coefficientsmentioning

confidence: 99%

“…Kandlikar et al [32] have shown that wall roughness can significantly affect heat transfer, pressure drop, and transition Reynolds number in small tubes. Study in this area is continuing, but it is to be noted that a level of roughness that is negligible in a large tube may be significant in a tiny tube.…”

Section: Single-phase Heat Transfer Coefficientsmentioning

confidence: 99%

“…Kandlikar et al [32] studied the effect of artificial roughness (acid etching) on heat transfer and flow friction. A roughness that had no effect on a 1.0-mmdiameter tube increased both the heat transfer coefficient and the friction factor for a 0.6-mm-diameter tube due to the larger relative roughness in the smaller tube.…”

Section: Enhancementmentioning

confidence: 99%

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Section: Single-phase Heat Transfer Coefficientsmentioning

confidence: 99%

Section: Single-phase Heat Transfer Coefficientsmentioning

confidence: 99%

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“…At the upper limit of the considered Reynolds number interval, the flow through labyrinth-type channels could start exhibit a transitional behaviour (Pfahler et al, 1990;Harley et al, 1995;Kandilikar et al, 2003). As discussed above, some of the previous CFD studies on this matter are based on fully turbulent modelling assumptions, which is arguably an oversimplification of the actual flow physics.…”

Section: Simulation Setupmentioning

confidence: 99%

“…Equation (2), in the multi-component formulation, is rewritten in the following form (Pfahler et al, 1990;Harley et al, 1995;Qisu and Xiaoyi, 1997;Kandilikar et al, 2003;Biscarini et al, 2013;Falcucci et al, 2016;Montessori et al, 2016): (8) in which , u → is the mean value of the macroscopic velocity, provided by: According to Eq. (7), it is possible to set different values for the species viscosities, in order to evaluate the behaviour of the passively advected species for different values of Peclét nondimensional number, defined as: (10) in which L is a characteristic dimension and U is the species macroscopic velocity magnitude.…”

Section: Multi-component Flowmentioning

confidence: 99%

Multi-component Lattice Boltzmann simulation of the hydrodynamics in drip emitters

Falcucci

Krastev

Biscarini

2017

J Agricult Engineer

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In this paper, we propose a fast and efficient numerical technique based on the Lattice Boltzmann method (LBM) to model the flow through a reference drip emitter geometry. The aim of the study is to demonstrate the applicability of the LBM as a reliable simulation tool for the hydraulic optimisation of irrigation systems. Results for the water flow through a rectangular drip emitter are in good agreement with literature numerical and experimental data. Furthermore, we demonstrate the feasibility of the proposed model to simulate a multi-component flow that could be used to simulate the presence of additives, contaminants, and suspended particles. IntroductionAs shown in several studies, drip emitters play a major role in the hydraulic performance of drip irrigation systems (Glaad, 1974;Ozekici et al., 1991; Carraro et al., 2006;Li et al., 2006). Glaad (1974) reports several results obtained under laboratory conditions and highlights the effect of structural form, dimension and material of emitter channels on the overall performance of the dripper. In Ozekici et al. (1991), pressure losses during water flow are related to the shape of the emitter channel.However, a detailed experimental observation of the flow pattern through emitter channels has proven to be practically unfeasible, due to their complex shape and very small size (less than 1 mm 2 of cross sectional area). This provides the typical framework in which computational fluid dynamics (CFD) can be proficiently employed (Xia and Sun, 2002;Lee, 2013;Lee et al., 2013), to allow an experimental-based optimisation of drip irrigation systems. To date, a few CFD applications to drip emitters can be reported in the scientific literature, all based on well established numerical techniques such as the finite volume method (FVM) or the finite element method (FEM) (Palau-Salvador et al., 2004;Wei et al., 2004Wei et al., , 2006Provenzano et al., 2007;Li et al., 2008;Wu et al., 2013;Yurdem et al., 2015). In Palau-Salvador et al. (2004), a finite volume laminar flow model is employed to investigate the pressure vs discharge rate correlation in a straight channel design, showing a good agreement with experimental data. In Wei et al. (2004) a novel channel design is simulated numerically, confirming that the use of CFD can effectively reduce the number of experimental samples and measurements. The FEM method is applied in Wei et al. (2006), under a turbulent flow assumption, to explore its reliability in the comparison of several labyrinth channel designs. Wu et al. (2013) analyse the effectiveness of the standard k-ε model and the large eddy simulation (LES) method in simulating the fluid dynamics inside drip irrigation emitters and concluded that the LES model is more effective.A potential candidate for the direct simulation (i.e., without turbulence modelling) of fluid flow in the micro-channels of drip emitters is the Lattice Boltzmann method (LBM), a powerful technique for the computational modelling of a wide variety of complex fluid flow problems (Benzi e...

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Numerical simulation of cavity roughness effects on melt filling in microinjection molding

2008

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ABSTRACT:In microinjection molding, when dimensions of molded parts, and thus the cavity are small, cavity roughness may become significant for the filling of polymer melt. In this paper, cavity roughness effects on filling polymer melt flow into a thin circular cavity were investigated numerically with the aid of a newly developed inlet-velocity iterative procedure. The roughness effects for different mold and melt temperatures, cavity thicknesses, and injection rates were investigated. The trends predicted by the numerical simulation are in good agreement with those obtained from the experiment. When the surface roughness approaches a significant portion (e.g., 10%) of the cavity thickness, the effect of surface roughness becomes extremely pronounced especially at lower mold temperatures and injection velocities.

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Effect of Surface Roughness on Heat Transfer and Fluid Flow Characteristics at Low Reynolds Numbers in Small Diameter Tubes

Cited by 224 publications

References 5 publications

Boiling and Evaporation in Small Diameter Channels

Boiling and Evaporation in Small Diameter Channels

Multi-component Lattice Boltzmann simulation of the hydrodynamics in drip emitters

Numerical simulation of cavity roughness effects on melt filling in microinjection molding

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