2015
DOI: 10.1590/0104-6632.20150322s00003318
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Determination of the Effective Radial Thermal Diffusivity for Evaluating Enhanced Heat Transfer in Tubes Under Non-Newtonian Laminar Flow

Abstract: -Enhanced heat transfer in tubes under laminar flow conditions can be found in coils or corrugated tubes or in the presence of high wall relative roughness, curves, pipe fittings or mechanical vibration. Modeling these cases can be complex because of the induced secondary flow. A modification of the Graetz problem for non-Newtonian power-law flow is proposed to take into account the augmented heat transfer by the introduction of an effective radial thermal diffusivity. The induced mixing was modeled as an incr… Show more

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Cited by 3 publications
(5 citation statements)
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“…Based on the case study with: D efA = 10 −5 m 2 .s −1 and F heat1 = 15, Figure allows observing the influence of the diffusion parameters change. Methods for estimating the effective radial conductivity of heat are described by Morais and Gut () while method for determine effective radial diffusivities under laminar flow are presented by Dantas et al ().…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Based on the case study with: D efA = 10 −5 m 2 .s −1 and F heat1 = 15, Figure allows observing the influence of the diffusion parameters change. Methods for estimating the effective radial conductivity of heat are described by Morais and Gut () while method for determine effective radial diffusivities under laminar flow are presented by Dantas et al ().…”
Section: Resultsmentioning
confidence: 99%
“…Enhanced diffusion can occur due to corrugated tube wall, high relative wall roughness, mechanical vibration or presence of curves or coils (Bergles & Joshi, ). In the case of heat transfer, Morais and Gut () defined an enhancement factor for the radial diffusivity ( F h eat ) that multiplies the thermal conductivity of the fluid, and consequently the thermal diffusivity ( α = k / ρ. C p ).…”
Section: Mathematical Modelingmentioning
confidence: 99%
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“…Optimal control of the drying process is fundamental and requires complete information on the drying behavior of the materials, requiring an accurate model capable of predicting water removal rates and describing the drying performance of each product under certain conditions (Khatchatourian et al, 2013). Mathematical models are an effective tool in the development, design, and improvement of drying systems and analysis of mass transfer phenomena during the drying process (Silva et al, 2014;Morais & Gut, 2015;Zarein et al, 2015;Qiu et al, 2018). Dincer & Dost (1995) developed analytical models to characterize the mass transfer during drying of objects presenting regular geometry (plate, cylinder, and sphere) and based on the assumption that the effective moisture diffusivity during drying process remains constant.…”
Section: Introductionmentioning
confidence: 99%