Numerical investigation of fouling on cross-flow heat exchanger tubes with conjugated heat transfer approach

Kaptan, Yalın; Buyruk, Ertan; Ecder, Ali

doi:10.1016/j.icheatmasstransfer.2008.05.005

Cited by 38 publications

(18 citation statements)

References 12 publications

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“…Their model can be modified to capture the actual growth of the crystal more precisely. Heat transfer performance of fouling cross-flow heat exchanger is numerically studied by Kaptan et al [12]. The deposit layer due to fouling is assumed to be concentric or eccentric to the tube of the heat exchanger.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of conjugated heat transfer in a channel with a moving depositing front

Yap²,

Lou

et al. 2015

International Journal of Thermal Sciences

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Section: Introductionmentioning

confidence: 99%

Numerical investigation of conjugated heat transfer in a channel with a moving depositing front

Yap²,

Lou

et al. 2015

International Journal of Thermal Sciences

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“…At low Reynolds numbers, the heat transfer of the rear portion of a tube is at a minimum [Abdel-Raouf et al 2010;Buyruk, 2002;Kaptan et al, 2008;Rahmani et al, 2005]. The effects of longitudinal pitch on heat transfers have been also studied by Kim 2013 andShinya et al 1980.…”

Section: Introductionmentioning

confidence: 99%

Effect of transverse pitch on forced convective heat transfer over single row cylinder

Sahim

2015

Int J Mech Mater Eng

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Heat transfer problems are encountered in many engineering fields. Heat exchanger becomes important as the equipment for transfer heat. The tubes in heat exchanger consist of some tubes either in-line or staggered arrangements. The heat transfer of three circular tubes arranged in single row is studied numerically to observe the effect of transverse pitch. The flow around the tube, the momentum equation in boundary layer is solved by finite volume method to obtain the velocity distribution. The energy equation is discretized by finite different methods and then solved by the iteration of relaxation method to obtain the temperature fields. The pressure term of the equation is replaced by the experimental data measured from wind tunnel tests. The calculation of velocity and temperature are carried out around the cylinder in the middle of the arrangement in which the number of nodes increase along longitudinal direction. The results show the local drag friction and the local Nusselt number at the tube surfaces change with transverse pitch. Starting from a certain value of transverse pitch, there is no influence on heat transfers and the tube arrays behave as a single tube. For small pitch, the heat transfer and drag coefficient variations are significant.

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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]. Flat tube designs have been newly introduced for use in modern heat exchanger applications such as automotive radiators.…”

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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Numerical investigation of fouling on cross-flow heat exchanger tubes with conjugated heat transfer approach

Cited by 38 publications

References 12 publications

Numerical investigation of conjugated heat transfer in a channel with a moving depositing front

Numerical investigation of conjugated heat transfer in a channel with a moving depositing front

Effect of transverse pitch on forced convective heat transfer over single row cylinder

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

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