Heat transfer analysis of a non-Newtonian fluid flowing through a circular tube with twisted tape inserts

Rios‐Iribe, Erika Y.; Cervantes-Gaxiola, Maritza E.; Rubio-Castro, Eusiel; Ponce-Ortega, José María; González‐Llanes, Marcos D.; Reyes‐Moreno, C.; Hernández‐Calderón, Oscar M.

doi:10.1016/j.applthermaleng.2015.03.052

Cited by 29 publications

(7 citation statements)

References 24 publications

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“…The effect of tape insert on the heat transfer and the pressure drop through a circular tube at constant wall temperature was studied numerically at Reynolds number up to 600 by Rios-Iribe et al [27]. It was found that the twisted tape induced a swirling flow, and consequently generated an enhancement in heat transfer.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of heat transfer and fluid flow of water through a circular tube induced with divers' tape inserts

Oni

Paul

2016

Applied Thermal Engineering

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An investigation was carried out to analyse numerically heat transfer and flow characteristics of water through a circular tube induced with different twisted tapes. The aim is to know which of the tube designs gives the best performance when compared with a plain tube. Turbulent flow was considered, the walls of the tubes were under uniform wall heat flux, Reynolds number was between 5000 and 20000, and RNG κ-ε model was selected for the simulations. The shape of cuts on the tapes has effects on the performance of the induced tubes. The tube fitted with alternate-axis triangular cut twisted tape has the best performance as its Nusselt number and friction factor are 1.63 -2.18 and 2.60 -3.15 times respectively that of the tube fitted with plain twisted tape while its thermal performance factor is 1.35 -1.43 times that of the tube with plain twisted tape. New correlations were developed for the Nusselt number and friction factors, and reveal that the Nusselt number obtained from the new correlation agrees well with the correlation proposed by Thianpong et al. with a discrepancy of 2.21%. For the friction factor, the discrepancy is 3.01%.

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Section: Introductionmentioning

confidence: 99%

Numerical investigation of heat transfer and fluid flow of water through a circular tube induced with divers' tape inserts

Oni

Paul

2016

Applied Thermal Engineering

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“…The concluding mathematical formulation for Regime-IV is reported as Equations ( 9) and (10). The mathematical relation for the Nusselt number subject to Flow Regime-IV is concluded as Equation (14). By using Equation ( 14), the variations in Nusselt number subject to Prandtl number, temperature stratification, heat generation, and heat absorption are summarized in Table 4.…”

Section: Flow Regime-ivmentioning

confidence: 99%

“…Since then, the past and recent developments on heat transfer aspects in non-Newtonian fluid flows can be assessed in Refs. [12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Networking (ANN) Model for Convective Heat Transfer in Thermally Magnetized Multiple Flow Regimes with Temperature Stratification Effects

2022

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The convective heat transfer in non-Newtonian fluid flow in the presence of temperature stratification, heat generation, and heat absorption effects is debated by using artificial neural networking. The heat transfer rate is examined for the four different thermal flow regimes namely (I) thermal flow field towards a flat surface along with thermal radiations, (II) thermal flow field towards a flat surface without thermal radiations, (III) thermal flow field over a cylindrical surface with thermal radiations, and (IV) thermal flow field over a cylindrical surface without thermal radiations. For each regime, a Nusselt number is carried out to construct an artificial neural networking model. The model prediction performance is reported by using varied neuron numbers and input parameters, and the results are assessed. The ANN model is designed by using the Bayesian regularization training procedure, and a high-performing MLP network model is used. The data used in the creation of the MLP network was 80 percent for model training and 20 percent for testing. The graph shows the degree of agreement between the ANN model projected values and the goal values. We discovered that an artificial neural network model can provide high-efficiency forecasts for heat transfer rates having engineering standpoints. For both flat and cylindrical surfaces, the heat transfer normal to the surface reflects inciting nature towards the Prandtl number and heat absorption parameter, while the opposite is the case for the temperature stratification parameter and heat generation parameter. It is important to note that the magnitude of heat transfer is significantly larger for Flow Regime-IV in comparison with Flow Regimes-I, -II, and -III.

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“…Among the various examples of those enhanced geometries that can be found in the literature, internal fins [5], elliptic shaped turbulators [6] or twisted tape inserts inside the tube flow [7] can be cited. A successful application of the twisted tape insert to non-newtonian fluid has been recently reported [8]. The use of specifically bended tube sections creating chaotic behaviour as developed by Acharya et al [9] or Tohidi et al [10] can also be mentioned.…”

Section: Introductionmentioning

confidence: 97%

The effect of successive alternating wall deformation on the performance of an annular heat exchanger

Zambaux

Harion

Russeil

et al. 2015

Applied Thermal Engineering

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Heat transfer analysis of a non-Newtonian fluid flowing through a circular tube with twisted tape inserts

Cited by 29 publications

References 24 publications

Numerical investigation of heat transfer and fluid flow of water through a circular tube induced with divers' tape inserts

Numerical investigation of heat transfer and fluid flow of water through a circular tube induced with divers' tape inserts

Artificial Neural Networking (ANN) Model for Convective Heat Transfer in Thermally Magnetized Multiple Flow Regimes with Temperature Stratification Effects

The effect of successive alternating wall deformation on the performance of an annular heat exchanger

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