Experimental Analysis of Heat And Mass Transfer In a Packed Bed

Suryanarayana, K. V.; Rao, G. Srinivasa; Prasad, D. M. Reddy; Sharma, K.V.; Sarma, P. K.

doi:10.15282/jmes.1.2011.11.0011

Cited by 7 publications

(7 citation statements)

References 6 publications

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“…Comprehensive experimental (Zukauskas, 1972), numerical (Jayavel & Tiwari, 2009;Marchi & Hobmeir, 2007;Rahmani, Mirzaee, & Shirvani, 2005;Wang, Penner, & Ormiston, 2000;Wilson & Bassiouny, 2000), and experimental and numerical studies (Matos, Vargas, Laursen, & Bejan, 2004;Sumner, 2010;Rosdzimin, Zuhairi, & Azwadi, 2010) on circular tube banks have been previously conducted. Based on previous studies published in the literature, one can infer from this that the form of a tube and its arrangement has a significant effect on heat transfer (Fowler & Bejan, 1994;Mandhani, Chhabra, & Eswaran, 2002;Vijaya Lakshmi, Subrahmanyam, Dharma Rao, & Sharma, 2011;Suryanarayana, Srinivasa Rao, Reddy Prasad, Sharma, & Sarma,, 2011).…”

Section: Introductionmentioning

confidence: 89%

A Numerical Study of Forced Convection Heat Transfer over a Series of Flat Tubes between Parallel Plates

Tahseen¹,

Ishak²,

Rahman³

2012

J MECH ENG SCI

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This paper presents the numerical study on two-dimensional forced convection heat transfer across three in-line flat tubes confined in a channel under incompressible, steady-state conditions. This system is solved in body-fitted coordinates (BFC) using the finite volume method (FVM). The constant heat flux is imposed on the surface of the tubes as the thermal boundary conditions. The range of the longitudinal pitch-todiameter ratio (S L /D s ) of 2.0-4.0 is considered, the Reynolds number varies within the range 25-300, and the Prandtl number is taken as 0.7. The temperature contours, local Nusselt number distributions at the tube surface and mean Nusselt number were analyzed. The strength of the heat transfer between the surface of the tubes and the air flow increases with an increase in Reynolds number and pitch-to-diameter ratio.

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Section: Introductionmentioning

confidence: 89%

A Numerical Study of Forced Convection Heat Transfer over a Series of Flat Tubes between Parallel Plates

Tahseen¹,

Ishak²,

Rahman³

2012

J MECH ENG SCI

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“…Designs have recently been provided that use air conditioning for automotive evaporators and condensers. Recent developments in automotive aluminum manufacturing technology have made the cost of building flat tube heat exchangers more propitious (Muthucumaraswamy & Velmurugan, 2013;Naga Sarada et al, 2012;Rao et al, 2011;Sahin, Manay, & Ozceyhan, 2013;Suryanarayana, Srinivasa Rao, Reddy Prasad, Sharma, & Sarma, 2011;Webb & Kim, 2005). In addition, flat tube heat exchangers are expected to provide the best air-side heat transfer coefficients and minimum air-side pressure drop compared with circular tube heat exchangers; the pressure drop in flat tubes is expected to be less than in circular tubes due to a smaller wake area.…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study of Air Flow and Heat Transfer over in–Line Flat Tube Bank

Tahseen¹,

Ishak²,

Rahman³

2014

Int J Automot Mech Eng

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An experimental study was made to investigate heat transfer and air flow around the flat tubes of in-line flat tube banks with laminar forced convection. Measurements were conducted for sixteen tubes in the flow direction; four rows of four tubes, three air velocities (0.6, 0.8 and 1.0 m/s) and Reynolds numbers Re Dh = 527, 703 and 880, where D h is the hydraulic diameter of the tube. The total heat flux supplied in all the tubes was 968, 2259 and 3630 W/m 2 , respectively. The study results indicate that the average Nusselt number of all the flat tubes increased by 23.7%-36.7% with Reynolds numbers varying from 527 to 880 with fixed heat flux; also the average Nusselt number increased by 11.78%-23.75% at varying heat fluxes of 968, 2259 and 3630 W/m 2 , respectively at Reynolds number Re = 703. In addition, the pressure drop decreased with the increase of Reynolds number. The Nusselt number-Reynolds number correlation was found to be 2 1  C Nu C Re and the correlation yielded good predictions of the measured data with the mean error R 2 = 99.2%.

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“…Tube bundles are widely employed in cross-flow heat exchangers, but the design is still based on empirical correlations of heat transfer and pressure drop [1,2]. Heat exchangers with tube banks in a cross-flow are of great practical interest in many thermal and chemical engineering processes [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Heat Transfer and Pressure Drop Prediction in an in-Line Flat Tube Bundle by Radial Basis Function Network

Tahseen

Rahman²

2014

Int. J. Automot. Mech. Eng.

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This paper aims to predict the heat transfer and pressure drop for an in-line flat tubes configuration in a cross-flow using an artificial neural network. The numerical study of a two-dimensional steady state and incompressible laminar flow for an in-line flat tube configuration in a cross-flow is also considered in this study. The Reynolds number varies from 10 to 320. Heat transfer coefficient and pressure drop results are presented for tube configurations at three transverse pitches of 2.5, 3.0, and 4.5 with two longitudinal pitches of 3.0 and 6.0. The predicted results for the average Nusselt number and dimensionless pressure show good agreement with previous work. The accuracy between the actual values and the neural network approach model results was obtained with a mean absolute relative error less than 4.1%, 4.8%, and 3.8% for the average Nusselt number, dimensionless pressure drop and average friction factor, respectively.

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Experimental Analysis of Heat And Mass Transfer In a Packed Bed

Cited by 7 publications

References 6 publications

A Numerical Study of Forced Convection Heat Transfer over a Series of Flat Tubes between Parallel Plates

A Numerical Study of Forced Convection Heat Transfer over a Series of Flat Tubes between Parallel Plates

An Experimental Study of Air Flow and Heat Transfer over in–Line Flat Tube Bank

Heat Transfer and Pressure Drop Prediction in an in-Line Flat Tube Bundle by Radial Basis Function Network

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